code: def load(self, path):
      """Load model from file.
  
      Args:
          path (str): file path
      """
      parameters = torch.load(path, map_location=torch.device("cpu"))
  
      if "optimizer" in parameters:
          parameters = parameters["model"]
  
      self.load_state_dict(parameters)
  
imports: import torch
label_desc: Use image node_id 1 for calling the BaseModel obj's underlying member method code with example usage: obj.load(path) without return types