code: def _relu(x, leakiness=0.0):
      """Relu, with optional leaky support."""
      return tf.where(
          tf.less(x, 0.0), leakiness * x, x, name="leaky_relu"
      )
  
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 6 for calling a global function with example usage: _relu(x, leakiness) and returns: tf