code: def uniform(scale, seed=None):
      """
      Uniform initializer
  
      Args:
          scale (float): scale
          seed (int): random seed
  
      Returns:
          initializer for :class:`~cntk.variables.Parameter`
          initialized to uniform distribution between `scale*[-1.0, 1.0]`.
          Note: this maps to the "uniform1" distribution in BrainScript.
      """
      if seed is None:
          seed = SentinelValueForAutoSelectRandomSeed
  
      return cntk_py.uniform_initializer(scale, 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 1 for calling a global function with example usage: uniform(scale, seed) and returns: cntk_py