65 lines
2.5 KiB
C++
65 lines
2.5 KiB
C++
/* Copyright 2016 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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/// SavedModel loading functions and SavedModelBundle struct.
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#ifndef TENSORFLOW_CC_SAVED_MODEL_LOADER_H_
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#define TENSORFLOW_CC_SAVED_MODEL_LOADER_H_
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#include <string>
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#include <unordered_set>
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#include "tensorflow/core/lib/core/status.h"
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#include "tensorflow/core/protobuf/meta_graph.pb.h"
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#include "tensorflow/core/public/session.h"
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namespace tensorflow {
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/// SavedModel representation once the SavedModel is loaded from storage.
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struct SavedModelBundle {
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std::unique_ptr<Session> session;
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MetaGraphDef meta_graph_def;
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/// A TensorFlow Session does not Close itself on destruction. To avoid
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/// resource leaks, we explicitly call Close on Sessions that we create.
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~SavedModelBundle() {
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if (session) {
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session->Close().IgnoreError();
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}
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}
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SavedModelBundle() = default;
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};
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/// Loads a SavedModel from the specified export directory. The meta graph def
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/// to be loaded is identified by the supplied tags, corresponding exactly to
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/// the set of tags used at SavedModel build time. Returns a SavedModel bundle
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/// with a session and the requested meta graph def, if found.
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Status LoadSavedModel(const SessionOptions& session_options,
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const RunOptions& run_options, const string& export_dir,
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const std::unordered_set<string>& tags,
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SavedModelBundle* const bundle);
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/// Checks whether the provided directory could contain a SavedModel. Note that
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/// the method does not load any data by itself. If the method returns `false`,
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/// the export directory definitely does not contain a SavedModel. If the method
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/// returns `true`, the export directory may contain a SavedModel but provides
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/// no guarantee that it can be loaded.
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bool MaybeSavedModelDirectory(const string& export_dir);
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} // namespace tensorflow
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#endif // TENSORFLOW_CC_SAVED_MODEL_LOADER_H_
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