code: def get_unique_variable(name):
    
    candidates = tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, name)
    if not candidates:
      raise ValueError('Couldnt find variable %s' % name)
  
    for candidate in candidates:
      if candidate.op.name == name:
        return candidate
    raise ValueError('Variable %s does not uniquely identify a variable', name)
docs: Gets the variable uniquely identified by that name.
  
    Args:
      name: a name that uniquely identifies the variable.
  
    Returns:
      a tensorflow variable.
  
    Raises:
      ValueError: if no variable uniquely identified by the name exists.