code: def bninception(pretrained="imagenet"):
      r"""Pretrained BNInception"""
      model = BNInception()
      if pretrained:
          settings = pretrained_settings["bninception"][pretrained]
          model.load_state_dict(model_zoo.load_url(settings["url"]))
          model.input_space = settings["input_space"]
          model.input_size = settings["input_size"]
          model.input_range = settings["input_range"]
          model.mean = settings["mean"]
          model.std = settings["std"]
  
      return model
  
file_path: pywick/pywick/models/classification/bn_inception.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  import torch.utils.model_zoo
label_desc: Use image node_id 1 for calling a global function with example usage: bninception(pretrained) and returns: model