Uses of Class
org.tensorflow.SavedModelBundle.Loader

Packages that use SavedModelBundle.Loader

Package	Description
org.tensorflow	Defines classes to build, save, load and execute TensorFlow models.

Uses of SavedModelBundle.Loader in org.tensorflow

Methods in org.tensorflow that return SavedModelBundle.Loader

Modifier and Type	Method and Description
static SavedModelBundle.Loader	SavedModelBundle.loader(String exportDir) Load a saved model.
static SavedModelBundle.Loader	SavedModelBundle.loader(String exportDir) Load a saved model.
SavedModelBundle.Loader	SavedModelBundle.Loader.withConfigProto(byte[] configProto) Set configuration of the Session object created when loading the model.
SavedModelBundle.Loader	SavedModelBundle.Loader.withConfigProto(byte[] configProto) Set configuration of the Session object created when loading the model.
SavedModelBundle.Loader	SavedModelBundle.Loader.withRunOptions(byte[] options) Sets options to use when executing model initialization operations.
SavedModelBundle.Loader	SavedModelBundle.Loader.withRunOptions(byte[] options) Sets options to use when executing model initialization operations.
SavedModelBundle.Loader	SavedModelBundle.Loader.withTags(String... tags) Sets the set of tags that identify the specific graph in the saved model to load.
SavedModelBundle.Loader	SavedModelBundle.Loader.withTags(String... tags) Sets the set of tags that identify the specific graph in the saved model to load.