code: def load_caffe(model_desc, model_file):
      
      with change_env('GLOG_minloglevel', '2'):
          import caffe
          caffe.set_mode_cpu()
          net = caffe.Net(model_desc, model_file, caffe.TEST)
      param_dict = CaffeLayerProcessor(net).process()
      logger.info("Model loaded from caffe. Params: " +
                  ", ".join(sorted(param_dict.keys())))
      return param_dict
docs: Load a caffe model. You must be able to ``import caffe`` to use this
      function.
      Args:
          model_desc (str): path to caffe model description file (.prototxt).
          model_file (str): path to caffe model parameter file (.caffemodel).
      Returns:
          dict: the parameters.