code: def prelu(_x, scope=""):
      """parametric ReLU activation"""
      with tf.compat.v1.variable_scope(
          name_or_scope=scope, default_name="prelu"
      ):
          _alpha = tf.compat.v1.get_variable(
              "prelu_" + scope,
              shape=_x.get_shape()[-1],
              dtype=_x.dtype,
              initializer=tf.constant_initializer(0.1),
          )
          return tf.maximum(
              tf.cast(0.0, _x.dtype), _x
          ) + _alpha * tf.minimum(tf.cast(0.0, _x.dtype), _x)
  
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 1 for calling a global function with example usage: prelu(_x, scope) and returns: unknown