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  /external/tensorflow/tensorflow/go/
saved_model.go 28 // SavedModel represents the contents of loaded SavedModel.
30 type SavedModel struct {
35 // LoadSavedModel creates a new SavedModel from a model previously
48 func LoadSavedModel(exportDir string, tags []string, options *SessionOptions) (*SavedModel, error) {
73 return &SavedModel{Session: s, Graph: graph}, nil
  /external/tensorflow/tensorflow/contrib/saved_model/python/saved_model/
reader.py 15 """SavedModel functionality to read a SavedModel from disk."""
32 """Reads the savedmodel.pb or savedmodel.pbtxt file containing `SavedModel`.
35 saved_model_dir: Directory containing the SavedModel file.
38 A `SavedModel` protocol buffer.
43 # Build the path to the SavedModel in pbtxt format.
47 # Build the path to the SavedModel in pb format.
52 # Ensure that the SavedModel exists at either path
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  /external/tensorflow/tensorflow/cc/saved_model/
loader.cc 37 "The number of times a SavedModel was successfully loaded.", "model_path",
46 Status ReadSavedModel(const string& export_dir, SavedModel* saved_model_proto) {
60 "Could not find SavedModel .pb or .pbtxt at supplied export "
74 Status FindMetaGraphDefToLoad(const SavedModel& saved_model_proto,
92 ". To inspect available tag-sets in the SavedModel, please "
93 "use the SavedModel CLI: `saved_model_cli`");
138 LOG(INFO) << "Running MainOp on SavedModel bundle.";
161 LOG(INFO) << "Restoring SavedModel bundle.";
171 LOG(INFO) << "The specified SavedModel has no variables; no checkpoints "
196 LOG(INFO) << "Running LegacyInitOp on SavedModel bundle."
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  /external/tensorflow/tensorflow/python/saved_model/
loader_impl.py 15 """Loader implementation for SavedModel with hermetic, language-neutral exports.
39 """Reads the savedmodel.pb or savedmodel.pbtxt file containing `SavedModel`.
42 export_dir: Directory containing the SavedModel file.
45 A `SavedModel` protocol buffer.
50 # Build the path to the SavedModel in pbtxt format.
54 # Build the path to the SavedModel in pb format.
59 # Parse the SavedModel protocol buffer.
60 saved_model = saved_model_pb2.SavedModel()
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builder_impl.py 15 """SavedModel builder implementation."""
42 """Builds the `SavedModel` protocol buffer and saves variables and assets.
44 The `SavedModelBuilder` class provides functionality to build a `SavedModel`
46 part of a single language-neutral `SavedModel`, while sharing variables and
49 To build a SavedModel, the first meta graph must be saved with variables.
55 Each meta graph added to the SavedModel must be annotated with tags. The tags
82 self._saved_model = saved_model_pb2.SavedModel()
95 # SavedModel have been saved. Specifically, the first meta graph to be added
97 # on the SavedModel MUST use the add_meta_graph() API which does not save
138 """Add legacy init op to the SavedModel
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  /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/
estimator.py     [all...]
  /external/tensorflow/tensorflow/python/tools/
saved_model_cli.py 15 """Command-line interface to inspect and execute a graph in a SavedModel.
48 """Prints the tag-sets stored in SavedModel directory.
50 Prints all the tag-sets for MetaGraphs stored in SavedModel directory.
53 saved_model_dir: Directory containing the SavedModel to inspect.
56 print('The given SavedModel contains the following tag-sets:')
65 the given tag-set and SavedModel directory.
68 saved_model_dir: Directory containing the SavedModel to inspect.
74 print('The given SavedModel MetaGraphDef contains SignatureDefs with the '
125 saved_model_dir: Directory containing the SavedModel to inspect.
137 print('The given SavedModel SignatureDef contains the following input(s):'
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  /external/tensorflow/tensorflow/c/
c_api_test.cc     [all...]

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