code: def initialize_weights(*models):
      for model in models:
          for module in model.modules():
              if isinstance(module(nn.Conv2d, nn.Linear)):
                  nn.init.kaiming_normal(module.weight)
                  if module.bias is not None:
                      module.bias.data.zero_()
              elif isinstance(module, nn.BatchNorm2d):
                  module.weight.data.fill_(1)
                  module.bias.data.zero_()
  
label_desc: Use image node_id 2 for calling a global function with example usage: initialize_weights() without return types