code: def deformable_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],
          dcn=dict(
              modulated=True,
              deformable_groups=1,
              fallback_on_stride=False,
          ),
          stage_with_dcn=[False, True, True, True],
          **kwargs,
      )
      if pretrained:
          model.load_state_dict(
              model_zoo.load_url(model_urls["resnet18"]), strict=False
          )
      return model
  
imports: import torch.nn
  import math
  import torch.utils.model_zoo
label_desc: Use image node_id 4 for calling a global function with example usage: deformable_resnet18(pretrained) and returns: model