code: def _reset_parameters(self):
      for layer in range(self.n_layer):
          init.normal_(self.weights[layer], std=1e-1)
          init.zeros_(self.biases[layer])
      init.normal_(self.class_weight, std=1e-1)
      init.zeros_(self.class_bias)
  
imports: import torch
  from torch import Tensor, nn
  from torch.nn import init, functional
label_desc: Use image node_id 2 for calling the SimpleDiscriminator obj's underlying member method code with example usage: obj._reset_parameters() without return types