code: def resnet18(pretrained=True, **kwargs):
      """Constructs a ResNet-18 model.
      Args:
          pretrained (bool): If True, returns a model pre-trained on ImageNet
      """
      model = ResNet(BasicBlock, [2, 2, 2, 2], **kwargs)
      if pretrained:
          assert (
              kwargs.get("in_channels", 3) == 3
          ), "in_channels must be 3 whem pretrained is True"
          print("load from imagenet")
          load_models(model, "resnet18")
      return model
  
imports: import math
  import paddle
  from paddle import nn
label_desc: Use image node_id 5 for calling a global function with example usage: resnet18(pretrained) and returns: model