docstr: Initialize parameters of the LSTM (both weights and biases in one matrix)
  to be ones
docstr_tok: ["Initialize","parameters","of","the","LSTM","(","both","weights","and","biases","in","one","matrix",")","to","be","ones"]
code: def init(input_size, hidden_size):
      """
      Initialize parameters of the LSTM (both weights and biases in one matrix)
      to be ones
      """
      a = input_size + hidden_size + 1
      b = 4 * hidden_size
      # c = np.sqrt(input_size + hidden_size)
      WLSTM = np.ones((a, b))
      return WLSTM
  
file_path: neon/tests/lstm_ref.py
imports: from builtins import input
  import numpy
  from neon import logger
  from utils import allclose_with_out
label_desc: Use image node_id 1 for calling the LSTM obj's underlying member method code with example usage: obj.init(input_size, hidden_size) and returns: WLSTM