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/* Copyright 2021 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_CC_SAVED_MODEL_UTIL_H_
#define TENSORFLOW_CC_SAVED_MODEL_UTIL_H_
#include <set>
#include <string>
#include <utility>
#include <vector>
#include "tensorflow/core/framework/tensor.h"
#include "tensorflow/core/framework/tensor.pb.h"
#include "tensorflow/core/platform/status.h"
#include "tensorflow/core/protobuf/meta_graph.pb.h"
#include "tensorflow/core/protobuf/saved_model.pb.h"
namespace tensorflow {
namespace saved_model {
// Utility functions for SavedModel reading and writing.
// Returns "WriteVersion" ("1" or "2") of the SavedModel protobuf. If the
// protobuf has exactly one MetaGraphDef, which contains a SavedObjectGraph, it
// is version 2. Else, the protobuf is version 1.
//
// NOTE: The "WriteVersion" does *not* equal the major version of TF.
std::string GetWriteVersion(const SavedModel& saved_model);
// Get view of string keys of a map.
std::set<std::string> GetMapKeys(
const ::google::protobuf::Map<std::string, ::tensorflow::TensorProto>& map);
// Get the default input value from signature if it's missing in the request
// inputs. If `is_alias` is set to true, the keys of the `request_inputs` are
// alias names rather than the feed names in the graph.
absl::Status GetInputValues(
const SignatureDef& signature,
const ::google::protobuf::Map<std::string, ::tensorflow::TensorProto>& request_inputs,
std::vector<std::pair<std::string, Tensor>>& inputs);
} // namespace saved_model
} // namespace tensorflow
#endif // TENSORFLOW_CC_SAVED_MODEL_UTIL_H_