pp-shituv2 使用paddleserving部署后启动服务运行python3.7 pipeline_http_client.py报/home/aistudio/PaddleClas/deploy/paddleserving/recognition {'err_no': 8, 'err_msg': "(data_id=0 log_id=0) [det|0] Failed to postprocess: 'scale_factor.lod'", 'key': [], 'value': [], 'tensors': []}

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pp-shituv2 使用paddleserving部署后启动服务运行python3.7 pipeline_http_client.py报/home/aistudio/PaddleClas/deploy/paddleserving/recognition {'err_no': 8, 'err_msg': "(data_id=0 log_id=0) [det|0] Failed to postprocess: 'scale_factor.lod'", 'key': [], 'value': [], 'tensors': []}

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config.yml
#worker_num, 最大并发数。当build_dag_each_worker=True时, 框架会创建worker_num个进程，每个进程内构建grpcSever和DAG
##当build_dag_each_worker=False时，框架会设置主线程grpc线程池的max_workers=worker_num
worker_num: 1

#http端口, rpc_port和http_port不允许同时为空。当rpc_port可用且http_port为空时，不自动生成http_port
http_port: 18080
rpc_port: 9993

dag:
#op资源类型, True, 为线程模型；False，为进程模型
is_thread_op: False
op:
imagenet:
#并发数，is_thread_op=True时，为线程并发；否则为进程并发
concurrency: 1

    #当op配置没有server_endpoints时，从local_service_conf读取本地服务配置
    local_service_conf:

        #uci模型路径
        model_config: ResNet50_vd_serving

        #计算硬件类型: 空缺时由devices决定(CPU/GPU)，0=cpu, 1=gpu, 2=tensorRT, 3=arm cpu, 4=kunlun xpu
        device_type: 1

        #计算硬件ID，当devices为""或不写时为CPU预测；当devices为"0", "0,1,2"时为GPU预测，表示使用的GPU卡
        devices: "0" # "0,1"

        #client类型，包括brpc, grpc和local_predictor.local_predictor不启动Serving服务，进程内预测
        client_type: local_predictor

        #Fetch结果列表，以client_config中fetch_var的alias_name为准
        fetch_list: ["prediction"]

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pipeline.log中报错显示
Traceback (most recent call last):
File "/home/aistudio/.data/webide/pip/lib/python3.7/site-packages/paddle_serving_server/pipeline/operator.py", line 1105, in _run_postprocess
logid_dict.get(data_id))
File "recognition_web_service.py", line 94, in postprocess
boxes = self.img_postprocess(fetch_dict, visualize=False)
File "/home/aistudio/.data/webide/pip/lib/python3.7/site-packages/paddle_serving_app/reader/image_reader.py", line 427, in call
self.clsid2catid)
File "/home/aistudio/.data/webide/pip/lib/python3.7/site-packages/paddle_serving_app/reader/image_reader.py", line 344, in _get_bbox_result
lod = [fetch_map[fetch_name + '.lod']]
KeyError: 'scale_factor.lod'
ERROR 2024-03-18 19:23:33,028 [dag.py:410] (data_id=0 log_id=0) Failed to predict: (data_id=0 log_id=0) [det|0] Failed to postprocess: 'scale_factor.lod'