code: def reset_parameters(self):
      self.reset_running_stats()
      if self.affine:
          self.Br.data.zero_()
          self.Bi.data.zero_()
          self.Wrr.data.fill_(1)
          self.Wri.data.uniform_(
              -0.9, +0.9
          )  # W will be positive-definite
          self.Wii.data.fill_(1)
  
imports: import functools
  from functools import partial
  import numpy
  import torch
  from torch import Tensor, nn
  from torch.nn.modules.batchnorm import _BatchNorm
label_desc: Use image node_id 3 for calling the ComplexBatchNorm obj's underlying member method code with example usage: obj.reset_parameters() without return types