code: def reset_parameters(self):
      nn.init.kaiming_uniform_(self.weight, a=math.sqrt(5))
      if self.bias is not None:
          fan_in, _ = nn.init._calculate_fan_in_and_fan_out(self.weight)
          bound = 1 / math.sqrt(fan_in)
          nn.init.uniform_(self.bias, -bound, bound)
  
imports: import os
  import math
  import torch
  import numpy
  import torch.nn
  import torch.nn.functional
  from typing import Optional
  from cftool.cv import to_uint8
  from ....parameters import OPT
label_desc: Use image node_id 2 for calling the Conv2d obj's underlying member method code with example usage: obj.reset_parameters() without return types