code: def prelu(inputs, alpha_initializer=tf.constant_initializer()):
      """Probabilistic ReLu activation function
  
      Args:
          (tf.Tensor): input Tensor
          alpha_initializer (float, optional): an initial value for alpha
  
      Returns:
          tf.Tensor: a PreLu activated tensor
      """
  
      alpha = tf.get_variable(
          "alpha",
          shape=[],
          dtype=tf.float32,
          initializer=alpha_initializer,
      )
  
      return leaky_relu(inputs, alpha)
  
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 1 for calling a global function with example usage: prelu(inputs, alpha_initializer) and returns: leaky_relu