code: def resnet152_fn(pretrained: bool = True):
      model = torchvision.models.resnet152(pretrained=pretrained)
      return _resnet_features(model, out_channels=2048)
  
file_path: icevision/icevision/models/fastai/unet/backbones/resnet_configs.py
imports: from collections import OrderedDict
  from types import MethodType
  from typing import List
  from torch import nn
  import torchvision
  from icevision.utils.torch_utils import check_all_model_params_in_groups2
  from icevision.models.fastai.unet.backbones.backbone_config import TorchvisionUNetBackboneConfig
label_desc: Use image node_id 7 for calling a global function with example usage: resnet152_fn(pretrained) and returns: _resnet_features