code: def _truncated_normal(mean, stddev):
      v = tf.random.normal(shape=[], mean=mean, stddev=stddev)
      v = tf.clip_by_value(v, -2 * stddev + mean, 2 * stddev + mean)
      return v
  
file_path: mesh/mesh_tensorflow/experimental/data_aug_lib.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow.compat.v1
  import tensorflow_probability
  from tensorflow.contrib import image
label_desc: Use image node_id 1 for calling a global function with example usage: _truncated_normal(mean, stddev) and returns: v