code: def scatter_mean(updates, indices, size=None):
      out = scatter_add(updates, indices, size)
      ep = 1e-7
      count = (
          scatter_add(tf.ones([tf.shape(updates)[0], 1]), indices, size)
          + ep
      )
      return out / count
  
file_path: euler/tf_euler/python/euler_ops/mp_ops.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import ctypes
  import os
  import tensorflow
  from tf_euler.python.euler_ops import base
label_desc: Use image node_id 4 for calling a global function with example usage: scatter_mean(updates, indices, size) and returns: unknown