class_docstr: TensorFlow Serving binary.
class_docstr_tok: ["TensorFlow","Serving","binary","."]
code: def container_port(self) -> int:
      return self._DEFAULT_GRPC_PORT
  
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 TensorFlowServing obj's underlying member method code with example usage: obj.container_port() and returns: self