code: def _resnet_fpn(name: str, pretrained: bool = True, **kwargs):
      model = resnet_fpn_backbone(
          backbone_name=name, pretrained=pretrained, **kwargs
      )
      patch_param_groups(model)
  
      return model
  
file_path: icevision/icevision/models/torchvision/retinanet/backbones/resnet_fpn_configs.py
imports: from icevision.models.torchvision.retinanet.backbones.resnet_fpn_utils import patch_param_groups
  from torchvision.models.detection.backbone_utils import resnet_fpn_backbone
  from icevision.models.torchvision.retinanet.backbones.backbone_config import TorchvisionRetinanetBackboneConfig
label_desc: Use image node_id 1 for calling a global function with example usage: _resnet_fpn(name, pretrained) and returns: model