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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def underlying_variable(t):
 """Find the underlying tf.Variable object. Args: t: a Tensor Returns: tf.Variable. """

  t = underlying_variable_ref(t)
  assert t is not None
  # make sure that the graph has a variable index and that it is up-to-date
  if not hasattr(tf.get_default_graph(), "var_index"):
    tf.get_default_graph().var_index = {}
  var_index = tf.get_default_graph().var_index
  for v in tf.global_variables()[len(var_index):]:
    var_index[v.name] = v
  return var_index[t.name]