code: def _batch_norm(name, x):
      """Batch normalization."""
      with tf.name_scope(name):
          return tf.contrib.layers.batch_norm(
              inputs=x,
              decay=0.9,
              center=True,
              scale=True,
              activation_fn=None,
              updates_collections=None,
              is_training=False,
          )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
  from cleverhans.serial import NoRefModel
label_desc: Use image node_id 2 for calling a global function with example usage: _batch_norm(name, x) and returns: tf