code: def resnet18(pretrained=False, **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:
          model.load_state_dict(
              model_zoo.load_url(model_urls["resnet18"])
          )
      return model
  
imports: import torch
  import torch.nn
  import math
  import torch.utils.model_zoo
label_desc: Use image node_id 2 for calling a global function with example usage: resnet18(pretrained) and returns: model