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 connect(self, fname, inputs, args):
      fct = self._fct_set[fname]
      args["batch_stat"] = False
  
      if "no_scale" in args:
          del args["no_scale"]
      if "no_bias" in args:
          del args["no_bias"]
  
      h = fct(*inputs, **args)
      return h
  
imports: import nnabla.functions
  from .graph_converter import FunctionModifier
label_desc: Use image node_id 2 for calling the BatchNormBatchStatModifier obj's underlying member method code with example usage: obj.connect(fname, inputs, args) and returns: h