class_docstr: The parameters of the batch normalization replaced simple scale and bias.
  
  Args:
      name (:obj:`str`): Prefix of the parameter scope.
  
  Examples:
  
  .. code-block:: python
  
     pred = Model(...)
  
     import nnabla.experimental.graph_converters as GC
  
     modifiers = [GC.BatchNormalizationSelfFoldingModifier()]
     gc = GC.GraphConverter(modifiers)
     pred = gc.convert(pred)
code: def __finish__(self):
      self._cnt = 0
      self._name = "bn-self-folding"
  
file_path: nnabla/python/src/nnabla/experimental/graph_converters/batch_normalization_self_folding.py
imports: import nnabla
  import numpy
  from .graph_converter import FunctionModifier
label_desc: Use image node_id 4 for calling the BatchNormalizationSelfFoldingModifier obj's underlying member method code with example usage: obj.__finish__() without return types