code: def __init__(
      self,
      eps=2e-5,
      mean=None,
      var=None,
      decay=0.9,
      rmax=1,
      dmax=0,
      update_statistics=True,
  ):
      self._running_mean = mean
      self._running_var = var
      self.rmax = rmax
      self.dmax = dmax
      self.r = None
      self.update_statistics = update_statistics
  
      self.eps = eps
      self.decay = decay
  
imports: import warnings
  import numpy
  from chainer import backend
  from chainer.backends import cuda
  from chainer import configuration
  from chainer import function
  from chainer.functions.normalization import batch_normalization
  from chainer.utils import type_check
label_desc: Use image node_id 1 to create a new BatchRenormalizationFunction object from inherited base classes: function with example: obj = BatchRenormalizationFunction(eps, mean, var, decay, rmax, dmax, update_statistics)