class_docstr: Contains code meant to be executed by some `ModelOwner` Player.
  
  Args:
    player_name: `str`, name of the `tfe.player.Player`, representing the model owner.
    model_name: `str`, name of the model to be trained
    data_name: `str`, name of dataset that model trained on
code: def share_weights(self):
      return self.model.weights
  
imports: import argparse
  import sys
  import tensorflow
  import tf_encrypted
  from tf_encrypted.keras.datasets import *
  from tf_encrypted.protocol import ABY3
  from tf_encrypted.protocol import Pond
  from tf_encrypted.protocol import SecureNN
label_desc: Use image node_id 4 for calling the ModelOwner obj's underlying member method code with example usage: obj.share_weights() and returns: self