code: def reset_parameters(self):
          
  
          stdv = 1.0 / math.sqrt(self.num_features)
          self.weight.weight.data.uniform_(-stdv, stdv)
          if self.bias is not None:
              self.bias.data.uniform_(-stdv, stdv)
          if self.padding_idx is not None:
              self.weight.weight.data[self.padding_idx].fill_(0)
docs: Reinitiate the weight parameters.