Package tensorflow.serving

Class InputOuterClass.ExampleListWithContext.Builder

  • All Implemented Interfaces:
    com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, java.lang.Cloneable, InputOuterClass.ExampleListWithContextOrBuilder
    Enclosing class:
    InputOuterClass.ExampleListWithContext
    public static final class InputOuterClass.ExampleListWithContext.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<InputOuterClass.ExampleListWithContext.Builder>
implements InputOuterClass.ExampleListWithContextOrBuilder
     Specifies one or more independent input Examples, with a common context
 Example.
 The common use case for context is to cleanly and optimally specify some
 features that are common across multiple examples.
 See example below with a search query as the context and multiple restaurants
 to perform some inference on.
 context: {
   features: {
     feature: {
       key  : "query"
       value: {
         bytes_list: {
           value: [ "pizza" ]
         }
       }
     }
   }
 }
 examples: {
   features: {
     feature: {
       key  : "cuisine"
       value: {
         bytes_list: {
           value: [ "Pizzeria" ]
         }
       }
     }
   }
 }
 examples: {
   features: {
     feature: {
       key  : "cuisine"
       value: {
         bytes_list: {
           value: [ "Taqueria" ]
         }
       }
     }
   }
 }
 Implementations of ExampleListWithContext merge the context Example into each
 of the Examples. Note that feature keys must not be duplicated between the
 Examples and context Example, or the behavior is undefined.
 See also:
     tensorflow/core/example/example.proto
     https://developers.google.com/protocol-buffers/docs/proto3#maps
    Protobuf type tensorflow.serving.ExampleListWithContext