code: def __init__(self, model, vocab_size, start):
      self.start = start
      self.embeddings = model.add_lookup_parameters(
          (vocab_size, FLAGS_word_dim)
      )
      self.rnn = dy.VanillaLSTMBuilder(
          FLAGS_layers, FLAGS_word_dim, FLAGS_hidden_dim, model
      )
  
      self.h2l = model.add_parameters((vocab_size, FLAGS_hidden_dim))
      self.lb = model.add_parameters(vocab_size)
  
file_path: dynet/examples/rnnlm/lstmlm-auto.py
imports: from __future__ import print_function
  from collections import defaultdict
  import math
  import random
  import time
  import dynet
label_desc: Use image node_id 1 to create a new LSTMLM object  with example: obj = LSTMLM(model, vocab_size, start)