code: def leaky_relu(inputs, alpha=0.1):
      """Leaky ReLu activation function
  
      Args:
          inputs (tf.Tensor): input Tensor
          alpha (float): leakiness parameter
  
      Returns:
          tf.Tensor: a leaky ReLu activated tensor
      """
      return tf.maximum(inputs, alpha * inputs)
  
imports: from __future__ import unicode_literals
  from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import tensorflow
label_desc: Use image node_id 2 for calling a global function with example usage: leaky_relu(inputs, alpha) and returns: tf