code: def prepare_container_def(self, instance_type, accelerator_type=None):  # pylint: disable=unused-argument
          
          return sagemaker.container_def(self.image, self.model_data, self.env)
docs: Return a dict created by ``sagemaker.container_def()`` for deploying this model to a specified instance type.
  
          Subclasses can override this to provide custom container definitions for
          deployment to a specific instance type. Called by ``deploy()``.
  
          Args:
              instance_type (str): The EC2 instance type to deploy this Model to. For example, 'ml.p2.xlarge'.
              accelerator_type (str): The Elastic Inference accelerator type to deploy to the instance for loading and
                  making inferences to the model. For example, 'ml.eia1.medium'.
  
          Returns:
              dict: A container definition object usable with the CreateModel API.