code: def load_from_disk(self, filename):
      (self.builder, self.lookup, self.R, self.bias) = dy.load(
          filename, model
      )
  
file_path: dynet/examples/rnnlm/rnnlm.py
imports: import dynet
  import time
  import random
  from collections import defaultdict
  from itertools import count
  import argparse
  import sys
  import util
label_desc: Use image node_id 3 for calling the RNNLanguageModel obj's underlying member method code with example usage: obj.load_from_disk(filename) without return types