def METHOD_NAME(self, path):
    """Load model from file.
    Args:
        path (str): file path
    """
    parameters = torch.METHOD_NAME(path, map_location=torch.device('cpu'))
    if 'optimizer' in parameters:
        parameters = parameters['model']
    self.load_state_dict(parameters)