code: def init_chainer_default(layer):
      """Initializes the layer with the chainer default.
      weights with LeCunNormal(scale=1.0) and zeros as biases
      """
      assert isinstance(layer, nn.Module)
  
      if isinstance(layer, (nn.Linear, nn.Conv2d)):
          init_lecun_normal(layer.weight)
          if layer.bias is not None:
              # layer may be initialized with bias=False
              nn.init.zeros_(layer.bias)
      return layer
  
label_desc: Use image node_id 1 for calling a global function with example usage: init_chainer_default(layer) and returns: layer