import tensorflow as tf

        return ids

    
    def _create_regularizers_hook(self, config):

        wb_regularizers = tf.get_collection(tf.GraphKeys.REGULARIZATION_LOSSES)
        # see keras_utils.py: activity_and_contractive_regularizers
        ac_regularizers = tf.get_collection(AC_REGULARIZATION)
        custom_regularizers = tf.get_collection(CUSTOM_REGULARIZATION)

        if wb_regularizers:
            wb_regularizers_names = [r.name for r in wb_regularizers]
        else:
            wb_regularizers = [tf.zeros([1])]
