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/* 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_GRAPPLER_UTILS_FRAME_H_
#define TENSORFLOW_CORE_GRAPPLER_UTILS_FRAME_H_
#include <unordered_map>
#include "tensorflow/core/framework/graph.pb.h"
#include "tensorflow/core/grappler/utils.h"
#include "tensorflow/core/lib/core/status.h"
namespace tensorflow {
namespace grappler {
using FrameMap = std::unordered_map<const NodeDef*, std::vector<int>>;
// Returns the number of frames present in the graph, and populates
// the 'frames' argument with the collection of frames (denoted by their
// frame ids) in the outermost-to-innermost order. Frame ids are arbitrary.
Status IdentifyFrames(const GraphDef& graph, FrameMap* frame_map,
int* num_frames);
// As above, but use an existing NodeMap for graph instead of building it
// from scratch.
Status IdentifyFramesWithNodeMap(const GraphDef& graph, const NodeMap& node_map,
FrameMap* frame_map, int* num_frames);
} // namespace grappler
} // namespace tensorflow
#endif // TENSORFLOW_CORE_GRAPPLER_UTILS_FRAME_H_
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