class_docstr: Change `batch_stat` to `False`.
  Supported functions: `BatchNormalization`, `FusedBatchNormalization`, `SyncBatchNormalization`.
  
  Examples:
  
  .. code-block:: python
  
     pred = Model(...)
  
     import nnabla.experimental.graph_converters as GC
  
     modifiers = [GC.BatchNormBatchStatModifier()]
     gc = GC.GraphConverter(modifiers)
     pred = gc.convert(pred)
code: def __init__(self):
      super(BatchNormBatchStatModifier, self).__init__()
  
      self._fct_set = {
          "BatchNormalization": F.batch_normalization,
          "FusedBatchNormalization": F.fused_batch_normalization,
          "SyncBatchNormalization": F.sync_batch_normalization,
      }
  
imports: import nnabla.functions
  from .graph_converter import FunctionModifier
label_desc: Use image node_id 1 to create a new BatchNormBatchStatModifier object from inherited base classes: FunctionModifier with example: obj = BatchNormBatchStatModifier()