code: def reset_parameters(self):
      nn.init.xavier_uniform_(self.linear1.weight)
      nn.init.xavier_uniform_(self.linear2.weight)
      nn.init.constant_(self.linear3.weight, 1e-10)
      if self.bias:
          nn.init.constant_(self.linear1.bias, 0.0)
          nn.init.constant_(self.linear2.bias, 0.0)
          nn.init.constant_(self.linear3.bias, 0.0)
  
imports: import numpy
  import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the ST_Net_Softplus obj's underlying member method code with example usage: obj.reset_parameters() without return types