code: def _mul_n(x):
      if len(x) == 2:
          return tf.multiply(x[0], x[1])
      else:
          return tf.multiply(x[0], _mul_n(x[1:]))
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: _mul_n(x) and returns: tf, tf