PicoDet serving 部署的fetch_list 要怎么配置

[lguowang]

大家好，我用pp训练了PicoDet，然后导出模型进行sering部署，但预测时出现主要的错误： {'err_no': 8, 'err_msg': "(data_id=0 log_id=0) [ppyolo|0] Failed to postprocess: 'transpose_17.tmp_0.lod'", 'key': [], 'value': [], 'tensors': []} 请问 fetch_list: 要配置成什么样的？ 请问 fetch_list: 要配置成什么样的？ 请问 fetch_list: 要配置成什么样的？

serving_server 中的 serving_server_conf.prototxt ： feed_var { name: "image" alias_name: "image" is_lod_tensor: false feed_type: 1 shape: 1 shape: 3 shape: 416 shape: 416 } fetch_var { name: "transpose_10.tmp_0" alias_name: "transpose_10.tmp_0" is_lod_tensor: false fetch_type: 1 shape: 1 shape: 2704 shape: 4 } fetch_var { name: "transpose_11.tmp_0" alias_name: "transpose_11.tmp_0" is_lod_tensor: false fetch_type: 1 shape: 1 shape: 2704 shape: 32 } fetch_var { name: "transpose_12.tmp_0" alias_name: "transpose_12.tmp_0" is_lod_tensor: false fetch_type: 1 shape: 1 shape: 676 shape: 4 } fetch_var { name: "transpose_13.tmp_0" alias_name: "transpose_13.tmp_0" is_lod_tensor: false fetch_type: 1 shape: 1 shape: 676 shape: 32 } fetch_var { name: "transpose_14.tmp_0" alias_name: "transpose_14.tmp_0" is_lod_tensor: false fetch_type: 1 shape: 1 shape: 169 shape: 4 } fetch_var { name: "transpose_15.tmp_0" alias_name: "transpose_15.tmp_0" is_lod_tensor: false fetch_type: 1 shape: 1 shape: 169 shape: 32 } fetch_var { name: "transpose_16.tmp_0" alias_name: "transpose_16.tmp_0" is_lod_tensor: false fetch_type: 1 shape: 1 shape: 49 shape: 4 } fetch_var { name: "transpose_17.tmp_0" alias_name: "transpose_17.tmp_0" is_lod_tensor: false fetch_type: 1 shape: 1 shape: 49 shape: 32 }

我配置的config.yml: dag: is_thread_op: false tracer: interval_s: 30 http_port: 18888 op: ppyolo: concurrency: 1

local_service_conf: client_type: local_predictor device_type: 1 devices: '0' fetch_list:

• transpose_17.tmp_0 model_config: serving_server/ rpc_port: 9998 worker_num: 2

请问 fetch_list: 要配置成什么样的？ 请问 fetch_list: 要配置成什么样的？

[ChiTaoGIS]

遇到了同样的问题，希望告诉一下怎么解决