path: "tensorflow.train.ExponentialMovingAverage"
tf_class {
  is_instance: "<class \'tensorflow.python.training.moving_averages.ExponentialMovingAverage\'>"
  is_instance: "<type \'object\'>"
  member {
    name: "name"
    mtype: "<type \'property\'>"
  }
  member_method {
    name: "__init__"
    argspec: "args=[\'self\', \'decay\', \'num_updates\', \'zero_debias\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'ExponentialMovingAverage\'], "
  }
  member_method {
    name: "apply"
    argspec: "args=[\'self\', \'var_list\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "average"
    argspec: "args=[\'self\', \'var\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "average_name"
    argspec: "args=[\'self\', \'var\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "variables_to_restore"
    argspec: "args=[\'self\', \'moving_avg_variables\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
}