code: def resnet152_v1s(pretrained=False, root="~/.torch/models", **kwargs):
      model = ResNetV1b(
          BottleneckV1b, [3, 8, 36, 3], deep_stem=True, **kwargs
      )
      if pretrained:
          saved_dict = model_zoo.load_url(model_urls["resnet152_v1c"])
          model.load_state_dict(saved_dict, strict=False)
      return model
  
imports: import torch
  import torch.nn
  import torch.utils.model_zoo
label_desc: Use image node_id 8 for calling a global function with example usage: resnet152_v1s(pretrained, root) and returns: model