1 /* Copyright 2021 The TensorFlow Authors. All Rights Reserved. 2 3 Licensed under the Apache License, Version 2.0 (the "License"); 4 you may not use this file except in compliance with the License. 5 You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9 Unless required by applicable law or agreed to in writing, software 10 distributed under the License is distributed on an "AS IS" BASIS, 11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 See the License for the specific language governing permissions and 13 limitations under the License. 14 ==============================================================================*/ 15 16 #ifndef TENSORFLOW_CORE_MLIR_TRANSFORMS_GRAPH_TO_FUNC_PASS_H_ 17 #define TENSORFLOW_CORE_MLIR_TRANSFORMS_GRAPH_TO_FUNC_PASS_H_ 18 19 #include <memory> 20 #include <string> 21 22 #include "mlir/Pass/Pass.h" // from @llvm-project 23 #include "mlir/Support/LLVM.h" // from @llvm-project 24 25 namespace mlir { 26 namespace tfg { 27 28 // Returns a pass that runs on a Module and expects to find a single GraphOp 29 // to transform into a function. The provided feeds and fetches are used to form 30 // the function arguments and returned values. 31 std::unique_ptr<Pass> CreateGraphToFuncPass( 32 ArrayRef<std::string> feeds = {}, ArrayRef<std::string> fetches = {}, 33 ArrayRef<std::string> control_rets = {}); 34 35 } // namespace tfg 36 } // namespace mlir 37 38 #endif // TENSORFLOW_CORE_MLIR_TRANSFORMS_GRAPH_TO_FUNC_PASS_H_ 39