class_docstr: Base class for serving binaries.
class_docstr_tok: ["Base","class","for","serving","binaries","."]
docstr: Container image of the model server.
  
  Only applies to docker compatible serving binaries.
docstr_tok: ["Container","image","of","the","model","server",".","Only","applies","to","docker","compatible","serving","binaries","."]
code: def image(self) -> str:
      """Container image of the model server.
  
      Only applies to docker compatible serving binaries.
      """
      raise NotImplementedError(
          "{} is not docker compatible.".format(type(self).__name__)
      )
  
imports: import abc
  import os
  from typing import Any, Dict, List, Optional
  from docker import types
  from tfx.components.infra_validator.model_server_clients import base_client
  from tfx.components.infra_validator.model_server_clients import tensorflow_serving_client
  from tfx.proto import infra_validator_pb2
  from tfx.utils.model_paths import tf_serving_flavor
label_desc: Use image node_id 2 for calling the ServingBinary obj's underlying member method code with example usage: obj.image() without return types