class_docstr: A model server runner that runs in a local docker runtime.
  
  You need to pre-install docker in the machine that is running InfraValidator
  component. For that reason, it is recommended to use this runner only for
  testing purpose.
class_docstr_tok: ["A","model","server","runner","that","runs","in","a","local","docker","runtime",".","You","need","to","pre-install","docker","in","the","machine","that","is","running","InfraValidator","component",".","For","that","reason",",","it","is","recommended","to","use","this","runner","only","for","testing","purpose","."]
code: def __repr__(self):
      return "LocalDockerRunner(image: {image})".format(
          image=self._serving_binary.image
      )
  
imports: import os
  import time
  from typing import Any, Dict, Optional
  from absl import logging
  import docker
  from docker import errors
  from tfx.components.infra_validator import error_types
  from tfx.components.infra_validator import serving_bins
  from tfx.components.infra_validator.model_server_runners import base_runner
  from tfx.proto import infra_validator_pb2
label_desc: Use image node_id 2 for calling the LocalDockerRunner obj's underlying member method code with example usage: obj.__repr__() and returns: str