1 /* Copyright 2017 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 // Flatten the call graph for an HLO module into a tree. 17 18 #ifndef TENSORFLOW_COMPILER_XLA_SERVICE_FLATTEN_CALL_GRAPH_H_ 19 #define TENSORFLOW_COMPILER_XLA_SERVICE_FLATTEN_CALL_GRAPH_H_ 20 21 #include "tensorflow/compiler/xla/service/hlo_pass_interface.h" 22 #include "tensorflow/compiler/xla/statusor.h" 23 24 namespace xla { 25 26 // Flattening associates each call site with a unique computation (for 27 // sequential calling contexts) This simplifies buffer assignment and 28 // points-to analysis (see b/36865746 for details). 29 class FlattenCallGraph : public HloPassInterface { 30 public: 31 tensorflow::StringPiece name() const override { return "flatten-call-graph"; } 32 33 // Duplicates computations called from multiple call- or while-nodes to 34 // flatten the call graph. 35 StatusOr<bool> Run(HloModule* module) override; 36 }; 37 38 } // namespace xla 39 40 #endif // TENSORFLOW_COMPILER_XLA_SERVICE_FLATTEN_CALL_GRAPH_H_ 41
