/* 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_CORE_GRAPH_GRAPH_UTIL_H_
#define TENSORFLOW_CORE_GRAPH_GRAPH_UTIL_H_

#include <unordered_set>

#include "tensorflow/core/framework/op_kernel.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/graph/graph.h"
#include "tensorflow/core/lib/core/status.h"

namespace tensorflow {
namespace graph_util {

// A full graph contain some subgraphs, like compute subgraph,
// IO subgraph, etc. The function find the compute subgraph boundary,
// and return all boundary nodes by boundary_node_set.
void GetComputeGraphBoundaryNodes(Graph* g,
    std::unordered_set<Node*>& boundary_node_set);

}  // namespace graph_util
}  // namespace tensorflow
#endif  // TENSORFLOW_CORE_GRAPH_GRAPH_UTIL_H_
