code: def truncated_normal(stdev, seed=None):
      """
      Truncated normal initializer. The resulting values are drawn from
      a truncated normal distribution and are always within two
      standard deviations from the mean (which is 0).
  
      Args:
          stdev (float): standard deviation
          seed (int): random seed
  
      Returns:
          initializer for :class:`~cntk.variables.Parameter`
          initialized to truncated Gaussian distribution between `2*stdev[-1, 1]`
      """
      if seed is None:
          seed = SentinelValueForAutoSelectRandomSeed
  
      return cntk_py.truncated_normal_initializer(stdev, seed)
  
file_path: CNTK/bindings/python/cntk/initializer.py
imports: from .None import cntk_py
  from .cntk_py import default_param_init_scale, sentinel_value_for_infer_param_init_rank, sentinel_value_for_auto_select_random_seed
label_desc: Use image node_id 10 for calling a global function with example usage: truncated_normal(stdev, seed) and returns: cntk_py