| /* Copyright 2022 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 XLA_MLIR_RUNTIME_RT_PASSES_H_ |
| #define XLA_MLIR_RUNTIME_RT_PASSES_H_ |
| |
| #include <memory> |
| |
| #include "mlir/IR/BuiltinOps.h" // from @llvm-project |
| #include "mlir/Pass/Pass.h" // from @llvm-project |
| #include "tensorflow/compiler/xla/mlir/ir/runtime/rt_ops.h" |
| |
| namespace xla { |
| namespace runtime { |
| |
| static constexpr char const* kEntrypointAttrName = "rt.entrypoint"; |
| |
| std::unique_ptr<mlir::OperationPass<mlir::ModuleOp>> |
| CreateConvertToEntrypoint(); |
| |
| #define GEN_PASS_REGISTRATION |
| #include "tensorflow/compiler/xla/mlir/transforms/runtime/rt_gen_passes.h.inc" |
| |
| } // namespace runtime |
| } // namespace xla |
| |
| #endif // XLA_MLIR_RUNTIME_RT_PASSES_H_ |