code: def normal(
      scale,
      output_rank=SentinelValueForInferParamInitRank,
      filter_rank=SentinelValueForInferParamInitRank,
      seed=None,
  ):
      """
      Normal initializer
  
      Args:
          scale (float): scale
          output_rank (int): output rank
          filter_rank (int): filter rank
          seed (int): random seed
  
      Returns:
          initializer for :class:`~cntk.variables.Parameter`
          initialized to normal distribution with mean `0` and standard deviation `scale`.
      """
      if seed is None:
          seed = SentinelValueForAutoSelectRandomSeed
  
      return cntk_py.normal_initializer(
          scale, output_rank, filter_rank, 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 2 for calling a global function with example usage: normal(scale, output_rank, filter_rank, seed) and returns: cntk_py