code: def alexnetnmp(pretrained=False, **kwargs):
      """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
      """
      model = AlexNetNMP(**kwargs)
      # if pretrained:
      # model.load_state_dict(model_zoo.load_url(model_urls['alexnet']))
      return model
  
file_path: antialiased-cnns/antialiased_cnns/alexnet.py
imports: import torch
  import torch.nn
  import torch.utils.model_zoo
  import numpy
  from antialiased_cnns import *
label_desc: Use image node_id 2 for calling a global function with example usage: alexnetnmp(pretrained) and returns: model