code: def set_weights(self, new_weights):
          
          self._check_sess()
          assign_list = [
              self.assignment_nodes[name] for name in new_weights.keys()
              if name in self.assignment_nodes
          ]
          assert assign_list, ("No variables in the input matched those in the "
                               "network. Possible cause: Two networks were "
                               "defined in the same TensorFlow graph. To fix "
                               "this, place each network definition in its own "
                               "tf.Graph.")
          self.sess.run(
              assign_list,
              feed_dict={
                  self.placeholders[name]: value
                  for (name, value) in new_weights.items()
                  if name in self.placeholders
              })
docs: Sets the weights to new_weights.
  
          Note:
              Can set subsets of variables as well, by only passing in the
              variables you want to be set.
  
          Args:
              new_weights (Dict): Dictionary mapping variable names to their
                  weights.