ממשק ציבורי SavedObjectGraphOrBuilder
| תת-מחלקות עקיפות ידועות |
שיטות ציבוריות
| בוליאני מופשט | containsConcreteFunctions (מפתח מחרוזת) Information about captures and output structures in concrete functions. |
| מפה מופשטת<String, SavedConcreteFunction > | getConcreteFunctions () השתמש getConcreteFunctionsMap() במקום זאת. |
| מופשט int | getConcreteFunctionsCount () Information about captures and output structures in concrete functions. |
| מפה מופשטת<String, SavedConcreteFunction > | getConcreteFunctionsMap () Information about captures and output structures in concrete functions. |
| תקציר SavedConcreteFunction | getConcreteFunctionsOrDefault (מפתח מחרוזת, SavedConcreteFunction defaultValue) Information about captures and output structures in concrete functions. |
| תקציר SavedConcreteFunction | getConcreteFunctionsOrThrow (מפתח מחרוזת) Information about captures and output structures in concrete functions. |
| תקציר SavedObject | getNodes (int index) Flattened list of objects in the object graph. |
| מופשט int | getNodesCount () Flattened list of objects in the object graph. |
| רשימת תקציר< SavedObject > | getNodesList () Flattened list of objects in the object graph. |
| תקציר SavedObjectOrBuilder | getNodesOrBuilder (int index) Flattened list of objects in the object graph. |
| רשימה מופשטת<? מרחיב את SavedObjectOrBuilder > | getNodesOrBuilderList () Flattened list of objects in the object graph. |
שיטות ציבוריות
תקציר ציבורי בוליאני מכילConcreteFunctions (מפתח מחרוזת)
Information about captures and output structures in concrete functions. Referenced from SavedBareConcreteFunction and SavedFunction.
map<string, .tensorflow.SavedConcreteFunction> concrete_functions = 2; תקציר ציבורי מפה<String, SavedConcreteFunction > getConcreteFunctions ()
השתמש getConcreteFunctionsMap() במקום זאת.
תקציר ציבורי int getConcreteFunctionsCount ()
Information about captures and output structures in concrete functions. Referenced from SavedBareConcreteFunction and SavedFunction.
map<string, .tensorflow.SavedConcreteFunction> concrete_functions = 2; מפה תקציר ציבורי<String, SavedConcreteFunction > getConcreteFunctionsMap ()
Information about captures and output structures in concrete functions. Referenced from SavedBareConcreteFunction and SavedFunction.
map<string, .tensorflow.SavedConcreteFunction> concrete_functions = 2; תקציר ציבורי SavedConcreteFunction getConcreteFunctionsOrDefault (מפתח מחרוזת, SavedConcreteFunction defaultValue)
Information about captures and output structures in concrete functions. Referenced from SavedBareConcreteFunction and SavedFunction.
map<string, .tensorflow.SavedConcreteFunction> concrete_functions = 2; תקציר ציבורי SavedConcreteFunction getConcreteFunctionsOrThrow (מפתח מחרוזת)
Information about captures and output structures in concrete functions. Referenced from SavedBareConcreteFunction and SavedFunction.
map<string, .tensorflow.SavedConcreteFunction> concrete_functions = 2; תקציר ציבורי SavedObject getNodes (int index)
Flattened list of objects in the object graph. The position of the object in this list indicates its id. Nodes[0] is considered the root node.
repeated .tensorflow.SavedObject nodes = 1; תקציר ציבורי int getNodesCount ()
Flattened list of objects in the object graph. The position of the object in this list indicates its id. Nodes[0] is considered the root node.
repeated .tensorflow.SavedObject nodes = 1; רשימת תקציר ציבורית< SavedObject > getNodesList ()
Flattened list of objects in the object graph. The position of the object in this list indicates its id. Nodes[0] is considered the root node.
repeated .tensorflow.SavedObject nodes = 1; תקציר ציבורי SavedObjectOrBuilder getNodesOrBuilder (int index)
Flattened list of objects in the object graph. The position of the object in this list indicates its id. Nodes[0] is considered the root node.
repeated .tensorflow.SavedObject nodes = 1; רשימת תקציר ציבורית<? מרחיב את SavedObjectOrBuilder > getNodesOrBuilderList ()
Flattened list of objects in the object graph. The position of the object in this list indicates its id. Nodes[0] is considered the root node.
repeated .tensorflow.SavedObject nodes = 1;