code: def resnext50_32x4d_fpn_fn(pretrained: bool = True, **kwargs):
      return _resnet_fpn(
          "resnext50_32x4d", pretrained=pretrained, **kwargs
      )
  
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 7 for calling a global function with example usage: resnext50_32x4d_fpn_fn(pretrained) and returns: _resnet_fpn