Package tensorflow

Interface SavedObjectGraphOuterClass.SavedObjectOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
SavedObjectGraphOuterClass.SavedObject, SavedObjectGraphOuterClass.SavedObject.Builder
Enclosing class:
SavedObjectGraphOuterClass

public static interface SavedObjectGraphOuterClass.SavedObjectOrBuilder extends com.google.protobuf.MessageOrBuilder
  • Method Details

    • getChildrenList

       Objects which this object depends on: named edges in the dependency
       graph.
      
       Note: All kinds of SavedObject may have children, except
       "constant" and "captured_tensor".
       
      repeated .tensorflow.TrackableObjectGraph.TrackableObject.ObjectReference children = 1;
    • getChildren

       Objects which this object depends on: named edges in the dependency
       graph.
      
       Note: All kinds of SavedObject may have children, except
       "constant" and "captured_tensor".
       
      repeated .tensorflow.TrackableObjectGraph.TrackableObject.ObjectReference children = 1;
    • getChildrenCount

      int getChildrenCount()
       Objects which this object depends on: named edges in the dependency
       graph.
      
       Note: All kinds of SavedObject may have children, except
       "constant" and "captured_tensor".
       
      repeated .tensorflow.TrackableObjectGraph.TrackableObject.ObjectReference children = 1;
    • getChildrenOrBuilderList

       Objects which this object depends on: named edges in the dependency
       graph.
      
       Note: All kinds of SavedObject may have children, except
       "constant" and "captured_tensor".
       
      repeated .tensorflow.TrackableObjectGraph.TrackableObject.ObjectReference children = 1;
    • getChildrenOrBuilder

       Objects which this object depends on: named edges in the dependency
       graph.
      
       Note: All kinds of SavedObject may have children, except
       "constant" and "captured_tensor".
       
      repeated .tensorflow.TrackableObjectGraph.TrackableObject.ObjectReference children = 1;
    • getDependenciesList

       Ordered list of dependencies that must be loaded before this object.
       SavedModel loads with the bottom-up approach, by first creating all objects
       (in the order defined by the dependencies), then connecting the edges.
       
      repeated .tensorflow.TrackableObjectGraph.TrackableObject.ObjectReference dependencies = 15;
    • getDependencies

       Ordered list of dependencies that must be loaded before this object.
       SavedModel loads with the bottom-up approach, by first creating all objects
       (in the order defined by the dependencies), then connecting the edges.
       
      repeated .tensorflow.TrackableObjectGraph.TrackableObject.ObjectReference dependencies = 15;
    • getDependenciesCount

      int getDependenciesCount()
       Ordered list of dependencies that must be loaded before this object.
       SavedModel loads with the bottom-up approach, by first creating all objects
       (in the order defined by the dependencies), then connecting the edges.
       
      repeated .tensorflow.TrackableObjectGraph.TrackableObject.ObjectReference dependencies = 15;
    • getDependenciesOrBuilderList

       Ordered list of dependencies that must be loaded before this object.
       SavedModel loads with the bottom-up approach, by first creating all objects
       (in the order defined by the dependencies), then connecting the edges.
       
      repeated .tensorflow.TrackableObjectGraph.TrackableObject.ObjectReference dependencies = 15;
    • getDependenciesOrBuilder

       Ordered list of dependencies that must be loaded before this object.
       SavedModel loads with the bottom-up approach, by first creating all objects
       (in the order defined by the dependencies), then connecting the edges.
       
      repeated .tensorflow.TrackableObjectGraph.TrackableObject.ObjectReference dependencies = 15;
    • getSlotVariablesList

       Slot variables owned by this object. This describes the three-way
       (optimizer, variable, slot variable) relationship; none of the three
       depend on the others directly.
      
       Note: currently only valid if kind == "user_object".
       
      repeated .tensorflow.TrackableObjectGraph.TrackableObject.SlotVariableReference slot_variables = 3;
    • getSlotVariables

       Slot variables owned by this object. This describes the three-way
       (optimizer, variable, slot variable) relationship; none of the three
       depend on the others directly.
      
       Note: currently only valid if kind == "user_object".
       
      repeated .tensorflow.TrackableObjectGraph.TrackableObject.SlotVariableReference slot_variables = 3;
    • getSlotVariablesCount

      int getSlotVariablesCount()
       Slot variables owned by this object. This describes the three-way
       (optimizer, variable, slot variable) relationship; none of the three
       depend on the others directly.
      
       Note: currently only valid if kind == "user_object".
       
      repeated .tensorflow.TrackableObjectGraph.TrackableObject.SlotVariableReference slot_variables = 3;
    • getSlotVariablesOrBuilderList

       Slot variables owned by this object. This describes the three-way
       (optimizer, variable, slot variable) relationship; none of the three
       depend on the others directly.
      
       Note: currently only valid if kind == "user_object".
       
      repeated .tensorflow.TrackableObjectGraph.TrackableObject.SlotVariableReference slot_variables = 3;
    • getSlotVariablesOrBuilder

       Slot variables owned by this object. This describes the three-way
       (optimizer, variable, slot variable) relationship; none of the three
       depend on the others directly.
      
       Note: currently only valid if kind == "user_object".
       
      repeated .tensorflow.TrackableObjectGraph.TrackableObject.SlotVariableReference slot_variables = 3;
    • hasUserObject

      boolean hasUserObject()
      .tensorflow.SavedUserObject user_object = 4;
      Returns:
      Whether the userObject field is set.
    • getUserObject

      .tensorflow.SavedUserObject user_object = 4;
      Returns:
      The userObject.
    • getUserObjectOrBuilder

      .tensorflow.SavedUserObject user_object = 4;
    • hasAsset

      boolean hasAsset()
      .tensorflow.SavedAsset asset = 5;
      Returns:
      Whether the asset field is set.
    • getAsset

      .tensorflow.SavedAsset asset = 5;
      Returns:
      The asset.
    • getAssetOrBuilder

      .tensorflow.SavedAsset asset = 5;
    • hasFunction

      boolean hasFunction()
      .tensorflow.SavedFunction function = 6;
      Returns:
      Whether the function field is set.
    • getFunction

      .tensorflow.SavedFunction function = 6;
      Returns:
      The function.
    • getFunctionOrBuilder

      .tensorflow.SavedFunction function = 6;
    • hasVariable

      boolean hasVariable()
      .tensorflow.SavedVariable variable = 7;
      Returns:
      Whether the variable field is set.
    • getVariable

      .tensorflow.SavedVariable variable = 7;
      Returns:
      The variable.
    • getVariableOrBuilder

      .tensorflow.SavedVariable variable = 7;
    • hasBareConcreteFunction

      boolean hasBareConcreteFunction()
      .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
      Returns:
      Whether the bareConcreteFunction field is set.
    • getBareConcreteFunction

      .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
      Returns:
      The bareConcreteFunction.
    • getBareConcreteFunctionOrBuilder

      .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
    • hasConstant

      boolean hasConstant()
      .tensorflow.SavedConstant constant = 9;
      Returns:
      Whether the constant field is set.
    • getConstant

      .tensorflow.SavedConstant constant = 9;
      Returns:
      The constant.
    • getConstantOrBuilder

      .tensorflow.SavedConstant constant = 9;
    • hasResource

      boolean hasResource()
      .tensorflow.SavedResource resource = 10;
      Returns:
      Whether the resource field is set.
    • getResource

      .tensorflow.SavedResource resource = 10;
      Returns:
      The resource.
    • getResourceOrBuilder

      .tensorflow.SavedResource resource = 10;
    • hasCapturedTensor

      boolean hasCapturedTensor()
      .tensorflow.CapturedTensor captured_tensor = 12;
      Returns:
      Whether the capturedTensor field is set.
    • getCapturedTensor

      .tensorflow.CapturedTensor captured_tensor = 12;
      Returns:
      The capturedTensor.
    • getCapturedTensorOrBuilder

      .tensorflow.CapturedTensor captured_tensor = 12;
    • getSaveableObjectsCount

      int getSaveableObjectsCount()
       Stores the functions used to save and restore this object. At most one of
       `saveable_objects` or `registered_saver` is defined for each SavedObject.
       See the comment below for the difference between SaveableObject and
       registered savers.
       
      map<string, .tensorflow.SaveableObject> saveable_objects = 11;
    • containsSaveableObjects

      boolean containsSaveableObjects(String key)
       Stores the functions used to save and restore this object. At most one of
       `saveable_objects` or `registered_saver` is defined for each SavedObject.
       See the comment below for the difference between SaveableObject and
       registered savers.
       
      map<string, .tensorflow.SaveableObject> saveable_objects = 11;
    • getSaveableObjects

      Deprecated.
    • getSaveableObjectsMap

       Stores the functions used to save and restore this object. At most one of
       `saveable_objects` or `registered_saver` is defined for each SavedObject.
       See the comment below for the difference between SaveableObject and
       registered savers.
       
      map<string, .tensorflow.SaveableObject> saveable_objects = 11;
    • getSaveableObjectsOrDefault

       Stores the functions used to save and restore this object. At most one of
       `saveable_objects` or `registered_saver` is defined for each SavedObject.
       See the comment below for the difference between SaveableObject and
       registered savers.
       
      map<string, .tensorflow.SaveableObject> saveable_objects = 11;
    • getSaveableObjectsOrThrow

      SavedObjectGraphOuterClass.SaveableObject getSaveableObjectsOrThrow(String key)
       Stores the functions used to save and restore this object. At most one of
       `saveable_objects` or `registered_saver` is defined for each SavedObject.
       See the comment below for the difference between SaveableObject and
       registered savers.
       
      map<string, .tensorflow.SaveableObject> saveable_objects = 11;
    • getRegisteredName

      String getRegisteredName()
       The name of the registered class of the form "{package}.{class_name}".
       This field is used to search for the registered class at loading time.
       
      string registered_name = 13;
      Returns:
      The registeredName.
    • getRegisteredNameBytes

      com.google.protobuf.ByteString getRegisteredNameBytes()
       The name of the registered class of the form "{package}.{class_name}".
       This field is used to search for the registered class at loading time.
       
      string registered_name = 13;
      Returns:
      The bytes for registeredName.
    • hasSerializedUserProto

      boolean hasSerializedUserProto()
       The user-generated proto storing metadata for this object, to be passed to
       the registered classes's _deserialize_from_proto method when this object is
       loaded from the SavedModel.
       
      .google.protobuf.Any serialized_user_proto = 14;
      Returns:
      Whether the serializedUserProto field is set.
    • getSerializedUserProto

      Any getSerializedUserProto()
       The user-generated proto storing metadata for this object, to be passed to
       the registered classes's _deserialize_from_proto method when this object is
       loaded from the SavedModel.
       
      .google.protobuf.Any serialized_user_proto = 14;
      Returns:
      The serializedUserProto.
    • getSerializedUserProtoOrBuilder

      AnyOrBuilder getSerializedUserProtoOrBuilder()
       The user-generated proto storing metadata for this object, to be passed to
       the registered classes's _deserialize_from_proto method when this object is
       loaded from the SavedModel.
       
      .google.protobuf.Any serialized_user_proto = 14;
    • getRegisteredSaver

      String getRegisteredSaver()
       String name of the registered saver. At most one of `saveable_objects` or
       `registered_saver` is defined for each SavedObject.
       
      string registered_saver = 16;
      Returns:
      The registeredSaver.
    • getRegisteredSaverBytes

      com.google.protobuf.ByteString getRegisteredSaverBytes()
       String name of the registered saver. At most one of `saveable_objects` or
       `registered_saver` is defined for each SavedObject.
       
      string registered_saver = 16;
      Returns:
      The bytes for registeredSaver.
    • getKindCase