| #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: 20 | |
| #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: 18093 | |
| 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: | |
| #op名称，与web_service中的TIPCExampleService初始化name参数一致 | |
| ppdet: | |
| #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: "./serving_server" | |
| #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: | |
| #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 | |