class_docstr: A single RNNLayer with optional batch norm.
class_docstr_tok: ["A","single","RNNLayer","with","optional","batch","norm","."]
code: def _flatten_parameters(self):
      self.rnn.flatten_parameters()
  
imports: import math
  from typing import List, Optional, Tuple, Union
  import numpy
  import torch
  from nemo.utils import logging
label_desc: Use image node_id 3 for calling the RNNLayer obj's underlying member method code with example usage: obj._flatten_parameters() without return types