code: def reset_parameters(self):
      n = self.in_channels
      for k in self.kernel_size:
          n *= k
      stdv = 1.0 / math.sqrt(n)
      self.weight.data.uniform_(-stdv, stdv)
      if self.bias is not None:
          self.bias.data.zero_()
  
imports: import math
  import torch
  import torch.nn
  from torch.nn.modules.utils import _pair
  from ..functions.deform_conv import deform_conv, modulated_deform_conv
label_desc: Use image node_id 2 for calling the ModulatedDeformConv obj's underlying member method code with example usage: obj.reset_parameters() without return types