code: def resnet152_v1b(pretrained=False, **kwargs):
      model = ResNetV1b(BottleneckV1b, [3, 8, 36, 3], **kwargs)
      if pretrained:
          old_dict = model_zoo.load_url(model_urls["resnet152"])
          model_dict = model.state_dict()
          old_dict = {
              k: v for k, v in old_dict.items() if (k in model_dict)
          }
          model_dict.update(old_dict)
          model.load_state_dict(model_dict)
      return model
  
imports: import torch
  import torch.nn
  import torch.utils.model_zoo
label_desc: Use image node_id 5 for calling a global function with example usage: resnet152_v1b(pretrained) and returns: model