class_docstr: SocketServer
  
  A basic Python socket server
class_docstr_tok: ["SocketServer","A","basic","Python","socket","server"]
code: def update_parameters(self, conn):
      data = receive(conn)
      delta = data["delta"]
      weights = self.master_network.get_weights()
      if self.mode == "asynchronous":
          self.lock.acquire_write()
      # apply the gradient
      self.master_network.set_weights(subtract_params(weights, delta))
      if self.mode == "asynchronous":
          self.lock.release()
  
imports: import abc
  import pickle
  import socket
  from threading import Thread
  from flask import Flask, request
  from multiprocessing import Process
  from tensorflow.keras.models import Model
  from elephas.utils.sockets import determine_master
  from elephas.utils.sockets import receive, send
  from elephas.utils.serialization import dict_to_model
  from elephas.utils.rwlock import RWLock
  from elephas.utils.notebook_utils import is_running_in_notebook
  from elephas.utils import subtract_params
label_desc: Use image node_id 6 for calling the SocketServer obj's underlying member method code with example usage: obj.update_parameters(conn) without return types