code: def parametric_relu(_x):
      alphas = tf.get_variable(
          "alpha",
          _x.get_shape()[-1],
          initializer=tf.constant_initializer(0.0),
          dtype=tf.float32,
      )
      pos = tf.nn.relu(_x)
      neg = alphas * (_x - abs(_x)) * 0.5
  
      return pos + neg
  
imports: import tensorflow
  from tensorflow.python.ops.rnn_cell import *
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import init_ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.util import nest
  from tensorflow.python.ops import nn_ops
  from bigdl.dllib.utils.log4Error import *
label_desc: Use image node_id 10 for calling a global function with example usage: parametric_relu(_x) and returns: unknown