Package tensorflow.serving

Interface Inference.InferenceTaskOrBuilder

  • All Superinterfaces:
    com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
    All Known Implementing Classes:
    Inference.InferenceTask, Inference.InferenceTask.Builder
    Enclosing class:
    Inference
    public static interface Inference.InferenceTaskOrBuilder
extends com.google.protobuf.MessageOrBuilder

    • Method Summary

      All Methods Instance Methods Abstract Methods 
      Modifier and Type Method Description
      java.lang.String getMethodName()
      Signature's method_name.
      com.google.protobuf.ByteString getMethodNameBytes()
      Signature's method_name.
      Model.ModelSpec getModelSpec()
      Model Specification.
      Model.ModelSpecOrBuilder getModelSpecOrBuilder()
      Model Specification.
      boolean hasModelSpec()
      Model Specification.

      • Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

        isInitialized

      • Methods inherited from interface com.google.protobuf.MessageOrBuilder

        findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

    • Method Detail

      • hasModelSpec

        boolean hasModelSpec()
         Model Specification. If version is not specified, will use the latest
 (numerical) version.
 All ModelSpecs in a MultiInferenceRequest must access the same model name.
        .tensorflow.serving.ModelSpec model_spec = 1;
        Returns:
        Whether the modelSpec field is set.

      • getModelSpec

        Model.ModelSpec getModelSpec()
         Model Specification. If version is not specified, will use the latest
 (numerical) version.
 All ModelSpecs in a MultiInferenceRequest must access the same model name.
        .tensorflow.serving.ModelSpec model_spec = 1;
        Returns:
        The modelSpec.

      • getModelSpecOrBuilder

        Model.ModelSpecOrBuilder getModelSpecOrBuilder()
         Model Specification. If version is not specified, will use the latest
 (numerical) version.
 All ModelSpecs in a MultiInferenceRequest must access the same model name.
        .tensorflow.serving.ModelSpec model_spec = 1;

      • getMethodName

        java.lang.String getMethodName()
         Signature's method_name. Should be one of the method names defined in
 third_party/tensorflow/python/saved_model/signature_constants.py.
 e.g. "tensorflow/serving/classify".
        string method_name = 2;
        Returns:
        The methodName.

      • getMethodNameBytes

        com.google.protobuf.ByteString getMethodNameBytes()
         Signature's method_name. Should be one of the method names defined in
 third_party/tensorflow/python/saved_model/signature_constants.py.
 e.g. "tensorflow/serving/classify".
        string method_name = 2;
        Returns:
        The bytes for methodName.