class_docstr: Compute the L2-norm for each weight kernel.
  
  This initializer is specific to the weight normalization scale to keep the same magnitude of the originally initialized weights even after the application of the weight normalization at only initialization.
  
  Args:
      w (:obj:`Variable`): Weight the weight normalization is applied.
      dim (:obj:`int`): Output dimension of the weight normalization.
      eps (:obj:`float`): Eplision of the weight normalization.
code: def __repr__(self):
      return "{}({})".format(self.__class__.__name__)
  
imports: import numpy
  from .None import random
label_desc: Use image node_id 2 for calling the WeightNormalizationScaleInitializer obj's underlying member method code with example usage: obj.__repr__() and returns: str