code: def alexnet(pretrained=False, progress=True, **kwargs):
      r"""AlexNet model architecture from the
      `"One weird trick..." <https://arxiv.org/abs/1404.5997>`_ paper.
  
      Args:
          pretrained (bool): If True, returns a model pre-trained on ImageNet
          progress (bool): If True, displays a progress bar of the download to stderr
      """
      model = AlexNet(**kwargs)
      if pretrained:
          state_dict = load_state_dict_from_url(
              model_urls["alexnet"], progress=progress
          )
          model.load_state_dict(state_dict)
      return model
  
file_path: robustness/robustness/imagenet_models/alexnet.py
imports: import torch.nn
  from torch.hub import load_state_dict_from_url
  from ..tools.custom_modules import FakeReLUM
label_desc: Use image node_id 1 for calling a global function with example usage: alexnet(pretrained, progress) and returns: model