Annotation used by classes to make TensorFlow operations conveniently accessible via org.tensorflow.op.Ops.
An annotation processor (org.tensorflow.processor.OperatorProcessor) builds the
Ops class by aggregating all classes annotated as @Operators. Each annotated
class must have at least one public static factory method named create that
accepts a Scope as its first argument. The processor then adds a
convenience method in the Ops class. For example:
{@codePublic Methods
| String |
group()
Specify an optional group within the
Ops class. |
| String |
name()
Name for the wrapper method used in the
Ops class. |
Inherited Methods
Public Methods
public String group ()
Specify an optional group within the Ops class.
By default, an annotation processor will create convenience methods directly in the Ops class. An annotated operator may optionally choose to place the method within a group. For
example:
{@codepublic String name ()
Name for the wrapper method used in the Ops class.
By default, a processor derives the method name in the Ops class from the class name
of the operator. This attribute allow you to provide a different name instead. For example:
{@code