code: def default_regularizer_hparams():
      """Returns the hyperparameters and their default values of a variable
      regularizer:
  
      .. code-block:: python
  
          {
              "type": "L1L2",
              "kwargs": {
                  "l1": 0.,
                  "l2": 0.
              }
          }
  
      The default value corresponds to :tf_main:`L1L2 <keras/regularizers/L1L2>`
      and, with `(l1=0, l2=0)`, disables regularization.
      """
      return {"type": "L1L2", "kwargs": {"l1": 0.0, "l2": 0.0}}
  
imports: import copy
  import tensorflow
  import tensorflow.contrib.rnn
  from texar.tf.hyperparams import HParams
  from texar.tf.utils import utils
  from texar.tf.utils.dtypes import is_str
  from texar.tf.utils.variables import add_variable
  from texar.tf.utils.mode import is_train_mode, switch_dropout
label_desc: Use image node_id 4 for calling a global function with example usage: default_regularizer_hparams() and returns: dict