code: def lecun_normal_init_parameters(module):
      """Initialize parameters in the LeCun's manner."""
      for p in module.parameters():
          data = p.data
          if data.dim() == 1:
              # bias
              data.zero_()
          elif data.dim() == 2:
              # linear weight
              n = data.size(1)
              stdv = 1.0 / math.sqrt(n)
              data.normal_(0, stdv)
          elif data.dim() in (3, 4):
              # conv weight
              n = data.size(1)
              for k in data.size()[2:]:
                  n *= k
              stdv = 1.0 / math.sqrt(n)
              data.normal_(0, stdv)
          else:
              raise NotImplementedError
  
label_desc: Use image node_id 1 for calling a global function with example usage: lecun_normal_init_parameters(module) without return types