code: def resnet50_v1s(
      pretrained=False, model_root="~/.torch/models", **kwargs
  ):
      model = ResNetV1b(
          BottleneckV1b, [3, 4, 6, 3], deep_stem=True, **kwargs
      )
      if pretrained:
          saved_dict = model_zoo.load_url(model_urls["resnet50_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 6 for calling a global function with example usage: resnet50_v1s(pretrained, model_root) and returns: model