code: def identity(features):
      """Computes the identity function.
  
      Useful for helping in quantization.
  
      Args:
        features: A `Tensor` representing preactivation values.
  
      Returns:
        The activation value.
      """
      features = tf.convert_to_tensor(features)
      return tf.identity(features)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
label_desc: Use image node_id 3 for calling a global function with example usage: identity(features) and returns: tf