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(deformable_groups=1),
          **kwargs,
      )
      if pretrained:
          assert (
              kwargs.get("in_channels", 3) == 3
          ), "in_channels must be 3 whem pretrained is True"
          print("load from imagenet")
          model.load_state_dict(
              model_zoo.load_url(model_urls["resnet18"]), strict=False
          )
      return model
  
imports: import math
  import paddle
  from paddle import nn
label_desc: Use image node_id 6 for calling a global function with example usage: deformable_resnet18(pretrained) and returns: model