class_docstr: GRPCEndpoint
class_docstr_tok: ["GRPCEndpoint"]
code: def __init__(self, data):
      self._grpc_server = grpc.server(
          concurrent.futures.ThreadPoolExecutor(max_workers=4)
      )
      port = self._grpc_server.add_insecure_port("localhost:0")
      self._endpoint = "localhost:" + str(port)
      self._data = data
      super().__init__()
      endpoint_pb2_grpc.add_GRPCEndpointServicer_to_server(
          self, self._grpc_server
      )
  
file_path: io/tensorflow_io/python/experimental/grpc_endpoint.py
imports: import os
  import sys
  import concurrent.futures
  import grpc
  import google.protobuf.any_pb2
  import tensorflow
  import endpoint_pb2
  import endpoint_pb2_grpc
label_desc: Use image node_id 1 to create a new GRPCEndpoint object from inherited base classes: endpoint_pb2_grpc with example: obj = GRPCEndpoint(data)