code: def _default_rnn_cell_params():
      """Creates default parameters used by multiple RNN encoders."""
      return {
          "cell_class": "BasicLSTMCell",
          "cell_params": {"num_units": 128},
          "dropout_input_keep_prob": 1.0,
          "dropout_output_keep_prob": 1.0,
          "num_layers": 1,
          "residual_connections": False,
          "residual_combiner": "add",
          "residual_dense": False,
      }
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import copy
  import tensorflow
  from tensorflow.contrib.rnn.python.ops import rnn
  from seq2seq.encoders.encoder import Encoder, EncoderOutput
  from seq2seq.training import utils
label_desc: Use image node_id 2 for calling a global function with example usage: _default_rnn_cell_params() and returns: dict