class_docstr: A model server client for TensorFlow Serving.
  
  It uses gRPC client to talk to TensorFlow Serving server.
docstr: Call GetModelStatus() from model service.
  
  https://github.com/tensorflow/serving/blob/master/tensorflow_serving/apis/model_service.proto
  
  Returns:
    GetModelStatusResponse from GetModelStatus().
docstr_tok: ["Call","GetModelStatus","(",")","from","model","service",".","https",":","\/\/github.com\/tensorflow\/serving\/blob\/master\/tensorflow_serving\/apis\/model_service.proto","Returns",":","GetModelStatusResponse","from","GetModelStatus","(",")","."]
code: def _GetModelStatus(
      self,
  ) -> get_model_status_pb2.GetModelStatusResponse:
      """Call GetModelStatus() from model service.
  
      https://github.com/tensorflow/serving/blob/master/tensorflow_serving/apis/model_service.proto
  
      Returns:
        GetModelStatusResponse from GetModelStatus().
      """
      request = get_model_status_pb2.GetModelStatusRequest(
          model_spec=model_pb2.ModelSpec(name=self._model_name)
      )
      return self._model_service.GetModelStatus(request)
  
file_path: tfx/tfx/components/infra_validator/model_server_clients/tensorflow_serving_client.py
imports: from absl import logging
  import grpc
  from tfx.components.infra_validator import types
  from tfx.components.infra_validator.model_server_clients import base_client
  from tensorflow_serving.apis import classification_pb2
  from tensorflow_serving.apis import model_pb2
  from tensorflow_serving.apis import predict_pb2
  from tensorflow_serving.apis import prediction_service_pb2_grpc
  from tensorflow_serving.apis import regression_pb2
label_desc: Use image node_id 2 for calling the TensorFlowServingClient obj's underlying member method code with example usage: obj._GetModelStatus() and returns: self