bert的输出为什么没有把hidden作为输出？ about turbotransformers HOT 7 CLOSED

 hidden_cache = self.encoder(hidden_states=hidden_cache, 
                             attention_mask=extended_attention_masks, 
                             return_type=ReturnType.turbo_transformers, 
                             output=hidden_cache) 
  
 self.seq_pool = SequencePool(PoolingMap[pooling_type]) 
 output = self.seq_pool(input_tensor=hidden_cache, 
                        return_type=return_type, 
                        output_tensor=output) 
 return  convert_returns_as_type(hidden_cache, return_type), output 

        encoder_output = self.bertmodel(
            inputs,
            attention_masks,
            token_type_ids,
            position_ids,
            pooling_type,
            hidden_cache,
            output=None,
            return_type=ReturnType.turbo_transformers)
        pooler_output = self.pooler(encoder_output[1], return_type, pooler_output)
        return pooler_output, convert_returns_as_type(encoder_output,
                                                      return_type)