Package tensorflow.serving

Interface GetModelStatus.GetModelStatusRequestOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
GetModelStatus.GetModelStatusRequest, GetModelStatus.GetModelStatusRequest.Builder
Enclosing class:
GetModelStatus
public static interface GetModelStatus.GetModelStatusRequestOrBuilder
extends com.google.protobuf.MessageOrBuilder

  • Method Summary

    Modifier and Type Method Description
    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 Details

    • hasModelSpec

      boolean hasModelSpec()
       Model Specification. If version is not specified, information about all
 versions of the model will be returned. If a version is specified, the
 status of only that version will be returned.
      .tensorflow.serving.ModelSpec model_spec = 1;
      Returns:
      Whether the modelSpec field is set.

    • getModelSpec

      Model.ModelSpec getModelSpec()
       Model Specification. If version is not specified, information about all
 versions of the model will be returned. If a version is specified, the
 status of only that version will be returned.
      .tensorflow.serving.ModelSpec model_spec = 1;
      Returns:
      The modelSpec.

    • getModelSpecOrBuilder

      Model.ModelSpecOrBuilder getModelSpecOrBuilder()
       Model Specification. If version is not specified, information about all
 versions of the model will be returned. If a version is specified, the
 status of only that version will be returned.
      .tensorflow.serving.ModelSpec model_spec = 1;