split test_serving_infer.sh into test_serving_infer_cpp.sh and test_serving_infer_python.sh
HydrogenSulfate
parent
b83c7c8631
commit
ed523bebab
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@ -1,6 +1,6 @@
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# Linux GPU/CPU PYTHON 服务化部署测试
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Linux GPU/CPU PYTHON 服务化部署测试的主程序为`test_serving_infer.sh`，可以测试基于Python的模型服务化部署功能。
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Linux GPU/CPU PYTHON 服务化部署测试的主程序为`test_serving_infer_cpp.sh`，可以测试基于Python的模型服务化部署功能。
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## 1. 测试结论汇总
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@ -60,14 +60,14 @@ Linux GPU/CPU PYTHON 服务化部署测试的主程序为`test_serving_infer.sh
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测试方法如下所示，希望测试不同的模型文件，只需更换为自己的参数配置文件，即可完成对应模型的测试。
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```bash
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bash test_tipc/test_serving_infer.sh ${your_params_file}
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bash test_tipc/test_serving_infer_cpp.sh ${your_params_file}
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```
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以`PPLCNet_x1_0`的`Linux GPU/CPU C++ 服务化部署测试`为例，命令如下所示。
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```bash
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bash test_tipc/test_serving_infer.sh test_tipc/configs/PPLCNet/PPLCNet_x1_0_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
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bash test_tipc/test_serving_infer_cpp.sh test_tipc/configs/PPLCNet/PPLCNet_x1_0_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt
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```
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输出结果如下，表示命令运行成功。
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@ -1,6 +1,6 @@
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# Linux GPU/CPU PYTHON 服务化部署测试
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Linux GPU/CPU PYTHON 服务化部署测试的主程序为`test_serving_infer.sh`，可以测试基于Python的模型服务化部署功能。
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Linux GPU/CPU PYTHON 服务化部署测试的主程序为`test_serving_infer_python.sh`，可以测试基于Python的模型服务化部署功能。
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## 1. 测试结论汇总
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@ -60,14 +60,14 @@ Linux GPU/CPU PYTHON 服务化部署测试的主程序为`test_serving_infer.sh
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测试方法如下所示，希望测试不同的模型文件，只需更换为自己的参数配置文件，即可完成对应模型的测试。
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```bash
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bash test_tipc/test_serving_infer.sh ${your_params_file}
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bash test_tipc/test_serving_infer_python.sh ${your_params_file}
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```
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以`ResNet50`的`Linux GPU/CPU PYTHON 服务化部署测试`为例，命令如下所示。
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```bash
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bash test_tipc/test_serving_infer.sh test_tipc/configs/ResNet50/ResNet50_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
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bash test_tipc/test_serving_infer_python.sh test_tipc/configs/ResNet50/ResNet50_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt
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```
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输出结果如下，表示命令运行成功。
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#!/bin/bash
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source test_tipc/common_func.sh
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FILENAME=$1
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dataline=$(awk 'NR==1, NR==19{print}' $FILENAME)
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# parser params
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IFS=$'\n'
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lines=(${dataline})
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function func_get_url_file_name(){
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strs=$1
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IFS="/"
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array=(${strs})
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tmp=${array[${#array[@]}-1]}
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echo ${tmp}
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}
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# parser serving
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model_name=$(func_parser_value "${lines[1]}")
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python=$(func_parser_value "${lines[2]}")
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trans_model_py=$(func_parser_value "${lines[4]}")
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infer_model_dir_key=$(func_parser_key "${lines[5]}")
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infer_model_dir_value=$(func_parser_value "${lines[5]}")
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model_filename_key=$(func_parser_key "${lines[6]}")
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model_filename_value=$(func_parser_value "${lines[6]}")
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params_filename_key=$(func_parser_key "${lines[7]}")
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params_filename_value=$(func_parser_value "${lines[7]}")
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serving_server_key=$(func_parser_key "${lines[8]}")
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serving_server_value=$(func_parser_value "${lines[8]}")
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serving_client_key=$(func_parser_key "${lines[9]}")
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serving_client_value=$(func_parser_value "${lines[9]}")
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serving_dir_value=$(func_parser_value "${lines[10]}")
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web_service_py=$(func_parser_value "${lines[11]}")
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web_use_gpu_key=$(func_parser_key "${lines[12]}")
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web_use_gpu_list=$(func_parser_value "${lines[12]}")
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pipeline_py=$(func_parser_value "${lines[13]}")
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function func_serving_cls(){
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LOG_PATH="test_tipc/output/${model_name}"
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mkdir -p ${LOG_PATH}
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LOG_PATH="../../${LOG_PATH}"
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status_log="${LOG_PATH}/results_serving.log"
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IFS='|'
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# pdserving
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set_dirname=$(func_set_params "${infer_model_dir_key}" "${infer_model_dir_value}")
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set_model_filename=$(func_set_params "${model_filename_key}" "${model_filename_value}")
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set_params_filename=$(func_set_params "${params_filename_key}" "${params_filename_value}")
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set_serving_server=$(func_set_params "${serving_server_key}" "${serving_server_value}")
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set_serving_client=$(func_set_params "${serving_client_key}" "${serving_client_value}")
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for python_ in ${python[*]}; do
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if [[ ${python_} =~ "python" ]]; then
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trans_model_cmd="${python_} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client}"
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eval ${trans_model_cmd}
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break
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fi
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done
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# modify the alias_name of fetch_var to "outputs"
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server_fetch_var_line_cmd="sed -i '/fetch_var/,/is_lod_tensor/s/alias_name: .*/alias_name: \"prediction\"/' ${serving_server_value}/serving_server_conf.prototxt"
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eval ${server_fetch_var_line_cmd}
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client_fetch_var_line_cmd="sed -i '/fetch_var/,/is_lod_tensor/s/alias_name: .*/alias_name: \"prediction\"/' ${serving_client_value}/serving_client_conf.prototxt"
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eval ${client_fetch_var_line_cmd}
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prototxt_dataline=$(awk 'NR==1, NR==3{print}' ${serving_server_value}/serving_server_conf.prototxt)
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IFS=$'\n'
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prototxt_lines=(${prototxt_dataline})
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feed_var_name=$(func_parser_value "${prototxt_lines[2]}")
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IFS='|'
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cd ${serving_dir_value}
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unset https_proxy
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unset http_proxy
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if [[ ${FILENAME} =~ "cpp" ]]; then
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for item in ${python[*]}; do
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if [[ ${item} =~ "python" ]]; then
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python_=${item}
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break
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fi
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done
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serving_client_dir_name=$(func_get_url_file_name "$serving_client_value")
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set_client_feed_type_cmd="sed -i '/feed_type/,/: .*/s/feed_type: .*/feed_type: 20/' ${serving_client_dir_name}/serving_client_conf.prototxt"
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eval ${set_client_feed_type_cmd}
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set_client_shape_cmd="sed -i '/shape: 3/,/shape: 3/s/shape: 3/shape: 1/' ${serving_client_dir_name}/serving_client_conf.prototxt"
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eval ${set_client_shape_cmd}
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set_client_shape224_cmd="sed -i '/shape: 224/,/shape: 224/s/shape: 224//' ${serving_client_dir_name}/serving_client_conf.prototxt"
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eval ${set_client_shape224_cmd}
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set_client_shape224_cmd="sed -i '/shape: 224/,/shape: 224/s/shape: 224//' ${serving_client_dir_name}/serving_client_conf.prototxt"
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eval ${set_client_shape224_cmd}
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set_pipeline_load_config_cmd="sed -i '/load_client_config/,/.prototxt/s/.\/.*\/serving_client_conf.prototxt/.\/${serving_client_dir_name}\/serving_client_conf.prototxt/' ${pipeline_py}"
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eval ${set_pipeline_load_config_cmd}
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set_pipeline_feed_var_cmd="sed -i '/feed=/,/: image}/s/feed={.*: image}/feed={${feed_var_name}: image}/' ${pipeline_py}"
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eval ${set_pipeline_feed_var_cmd}
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serving_server_dir_name=$(func_get_url_file_name "$serving_server_value")
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for use_gpu in ${web_use_gpu_list[*]}; do
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if [[ ${use_gpu} = "null" ]]; then
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web_service_cpp_cmd="${python_} -m paddle_serving_server.serve --model ${serving_server_dir_name} --op GeneralClasOp --port 9292 &"
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eval ${web_service_cpp_cmd}
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sleep 5s
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_save_log_path="${LOG_PATH}/server_infer_cpp_cpu_pipeline_batchsize_1.log"
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pipeline_cmd="${python_} test_cpp_serving_client.py > ${_save_log_path} 2>&1 "
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eval ${pipeline_cmd}
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last_status=${PIPESTATUS[0]}
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eval "cat ${_save_log_path}"
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status_check ${last_status} "${pipeline_cmd}" "${status_log}" "${model_name}"
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eval "${python_} -m paddle_serving_server.serve stop"
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sleep 5s
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else
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web_service_cpp_cmd="${python_} -m paddle_serving_server.serve --model ${serving_server_dir_name} --op GeneralClasOp --port 9292 --gpu_id=${use_gpu} &"
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eval ${web_service_cpp_cmd}
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sleep 8s
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_save_log_path="${LOG_PATH}/server_infer_cpp_gpu_pipeline_batchsize_1.log"
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pipeline_cmd="${python_} test_cpp_serving_client.py > ${_save_log_path} 2>&1 "
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eval ${pipeline_cmd}
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last_status=${PIPESTATUS[0]}
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eval "cat ${_save_log_path}"
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status_check ${last_status} "${pipeline_cmd}" "${status_log}" "${model_name}"
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sleep 5s
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eval "${python_} -m paddle_serving_server.serve stop"
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fi
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done
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else
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# python serving
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# modify the input_name in "classification_web_service.py" to be consistent with feed_var.name in prototxt
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set_web_service_feed_var_cmd="sed -i '/preprocess/,/input_imgs}/s/{.*: input_imgs}/{${feed_var_name}: input_imgs}/' ${web_service_py}"
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eval ${set_web_service_feed_var_cmd}
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model_config=21
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serving_server_dir_name=$(func_get_url_file_name "$serving_server_value")
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set_model_config_cmd="sed -i '${model_config}s/model_config: .*/model_config: ${serving_server_dir_name}/' config.yml"
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eval ${set_model_config_cmd}
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for use_gpu in ${web_use_gpu_list[*]}; do
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if [[ ${use_gpu} = "null" ]]; then
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device_type_line=24
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set_device_type_cmd="sed -i '${device_type_line}s/device_type: .*/device_type: 0/' config.yml"
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eval ${set_device_type_cmd}
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devices_line=27
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set_devices_cmd="sed -i '${devices_line}s/devices: .*/devices: \"\"/' config.yml"
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eval ${set_devices_cmd}
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web_service_cmd="${python_} ${web_service_py} &"
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eval ${web_service_cmd}
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sleep 5s
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for pipeline in ${pipeline_py[*]}; do
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_save_log_path="${LOG_PATH}/server_infer_cpu_${pipeline%_client*}_batchsize_1.log"
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pipeline_cmd="${python_} ${pipeline} > ${_save_log_path} 2>&1 "
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eval ${pipeline_cmd}
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last_status=${PIPESTATUS[0]}
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eval "cat ${_save_log_path}"
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status_check $last_status "${pipeline_cmd}" "${status_log}" "${model_name}"
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sleep 5s
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done
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eval "${python_} -m paddle_serving_server.serve stop"
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elif [ ${use_gpu} -eq 0 ]; then
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if [[ ${_flag_quant} = "False" ]] && [[ ${precision} =~ "int8" ]]; then
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continue
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fi
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if [[ ${precision} =~ "fp16" || ${precision} =~ "int8" ]] && [ ${use_trt} = "False" ]; then
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continue
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fi
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if [[ ${use_trt} = "False" || ${precision} =~ "int8" ]] && [[ ${_flag_quant} = "True" ]]; then
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continue
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fi
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device_type_line=24
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set_device_type_cmd="sed -i '${device_type_line}s/device_type: .*/device_type: 1/' config.yml"
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eval ${set_device_type_cmd}
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devices_line=27
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set_devices_cmd="sed -i '${devices_line}s/devices: .*/devices: \"${use_gpu}\"/' config.yml"
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eval ${set_devices_cmd}
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web_service_cmd="${python_} ${web_service_py} & "
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eval ${web_service_cmd}
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sleep 5s
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for pipeline in ${pipeline_py[*]}; do
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_save_log_path="${LOG_PATH}/server_infer_gpu_${pipeline%_client*}_batchsize_1.log"
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pipeline_cmd="${python_} ${pipeline} > ${_save_log_path} 2>&1"
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eval ${pipeline_cmd}
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last_status=${PIPESTATUS[0]}
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eval "cat ${_save_log_path}"
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status_check $last_status "${pipeline_cmd}" "${status_log}" "${model_name}"
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sleep 5s
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done
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eval "${python_} -m paddle_serving_server.serve stop"
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else
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echo "Does not support hardware [${use_gpu}] other than CPU and GPU Currently!"
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fi
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done
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fi
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}
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function func_serving_rec(){
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LOG_PATH="test_tipc/output/${model_name}"
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mkdir -p ${LOG_PATH}
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LOG_PATH="../../../${LOG_PATH}"
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status_log="${LOG_PATH}/results_serving.log"
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trans_model_py=$(func_parser_value "${lines[5]}")
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cls_infer_model_dir_key=$(func_parser_key "${lines[6]}")
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cls_infer_model_dir_value=$(func_parser_value "${lines[6]}")
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det_infer_model_dir_key=$(func_parser_key "${lines[7]}")
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det_infer_model_dir_value=$(func_parser_value "${lines[7]}")
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model_filename_key=$(func_parser_key "${lines[8]}")
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model_filename_value=$(func_parser_value "${lines[8]}")
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params_filename_key=$(func_parser_key "${lines[9]}")
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params_filename_value=$(func_parser_value "${lines[9]}")
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cls_serving_server_key=$(func_parser_key "${lines[10]}")
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cls_serving_server_value=$(func_parser_value "${lines[10]}")
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cls_serving_client_key=$(func_parser_key "${lines[11]}")
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cls_serving_client_value=$(func_parser_value "${lines[11]}")
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det_serving_server_key=$(func_parser_key "${lines[12]}")
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det_serving_server_value=$(func_parser_value "${lines[12]}")
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det_serving_client_key=$(func_parser_key "${lines[13]}")
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det_serving_client_value=$(func_parser_value "${lines[13]}")
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serving_dir_value=$(func_parser_value "${lines[14]}")
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web_service_py=$(func_parser_value "${lines[15]}")
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web_use_gpu_key=$(func_parser_key "${lines[16]}")
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web_use_gpu_list=$(func_parser_value "${lines[16]}")
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pipeline_py=$(func_parser_value "${lines[17]}")
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IFS='|'
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for python_ in ${python[*]}; do
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if [[ ${python_} =~ "python" ]]; then
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python_interp=${python_}
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break
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fi
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done
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# pdserving
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cd ./deploy
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set_dirname=$(func_set_params "${cls_infer_model_dir_key}" "${cls_infer_model_dir_value}")
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set_model_filename=$(func_set_params "${model_filename_key}" "${model_filename_value}")
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set_params_filename=$(func_set_params "${params_filename_key}" "${params_filename_value}")
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set_serving_server=$(func_set_params "${cls_serving_server_key}" "${cls_serving_server_value}")
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set_serving_client=$(func_set_params "${cls_serving_client_key}" "${cls_serving_client_value}")
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cls_trans_model_cmd="${python_interp} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client}"
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eval ${cls_trans_model_cmd}
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set_dirname=$(func_set_params "${det_infer_model_dir_key}" "${det_infer_model_dir_value}")
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set_model_filename=$(func_set_params "${model_filename_key}" "${model_filename_value}")
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set_params_filename=$(func_set_params "${params_filename_key}" "${params_filename_value}")
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set_serving_server=$(func_set_params "${det_serving_server_key}" "${det_serving_server_value}")
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set_serving_client=$(func_set_params "${det_serving_client_key}" "${det_serving_client_value}")
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det_trans_model_cmd="${python_interp} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client}"
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eval ${det_trans_model_cmd}
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if [[ ${FILENAME} =~ "cpp" ]]; then
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cp_prototxt_cmd="cp ./paddleserving/recognition/preprocess/general_PPLCNet_x2_5_lite_v1.0_serving/*.prototxt ${cls_serving_server_value}"
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eval ${cp_prototxt_cmd}
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cp_prototxt_cmd="cp ./paddleserving/recognition/preprocess/general_PPLCNet_x2_5_lite_v1.0_client/*.prototxt ${cls_serving_client_value}"
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eval ${cp_prototxt_cmd}
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cp_prototxt_cmd="cp ./paddleserving/recognition/preprocess/picodet_PPLCNet_x2_5_mainbody_lite_v1.0_client/*.prototxt ${det_serving_client_value}"
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eval ${cp_prototxt_cmd}
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cp_prototxt_cmd="cp ./paddleserving/recognition/preprocess/picodet_PPLCNet_x2_5_mainbody_lite_v1.0_serving/*.prototxt ${det_serving_server_value}"
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eval ${cp_prototxt_cmd}
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else
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# modify the alias_name of fetch_var to "outputs"
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server_fetch_var_line_cmd="sed -i '/fetch_var/,/is_lod_tensor/s/alias_name: .*/alias_name: \"features\"/' $cls_serving_server_value/serving_server_conf.prototxt"
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eval ${server_fetch_var_line_cmd}
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client_fetch_var_line_cmd="sed -i '/fetch_var/,/is_lod_tensor/s/alias_name: .*/alias_name: \"features\"/' $cls_serving_client_value/serving_client_conf.prototxt"
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eval ${client_fetch_var_line_cmd}
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fi
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prototxt_dataline=$(awk 'NR==1, NR==3{print}' ${cls_serving_server_value}/serving_server_conf.prototxt)
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IFS=$'\n'
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prototxt_lines=(${prototxt_dataline})
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feed_var_name=$(func_parser_value "${prototxt_lines[2]}")
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IFS='|'
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cd ${serving_dir_value}
|
||||
unset https_proxy
|
||||
unset http_proxy
|
||||
|
||||
if [[ ${FILENAME} =~ "cpp" ]]; then
|
||||
export SERVING_BIN=$PWD/../Serving/server-build-gpu-opencv/core/general-server/serving
|
||||
for use_gpu in ${web_use_gpu_list[*]}; do
|
||||
if [ ${use_gpu} = "null" ]; then
|
||||
det_serving_server_dir_name=$(func_get_url_file_name "$det_serving_server_value")
|
||||
web_service_cpp_cmd="${python_interp} -m paddle_serving_server.serve --model ../../${det_serving_server_value} ../../${cls_serving_server_value} --op GeneralPicodetOp GeneralFeatureExtractOp --port 9400 &"
|
||||
eval ${web_service_cpp_cmd}
|
||||
sleep 5s
|
||||
_save_log_path="${LOG_PATH}/server_infer_cpp_cpu_batchsize_1.log"
|
||||
pipeline_cmd="${python_interp} ${pipeline_py} > ${_save_log_path} 2>&1 "
|
||||
eval ${pipeline_cmd}
|
||||
last_status=${PIPESTATUS[0]}
|
||||
eval "cat ${_save_log_path}"
|
||||
status_check ${last_status} "${pipeline_cmd}" "${status_log}" "${model_name}"
|
||||
eval "${python_} -m paddle_serving_server.serve stop"
|
||||
sleep 5s
|
||||
else
|
||||
det_serving_server_dir_name=$(func_get_url_file_name "$det_serving_server_value")
|
||||
web_service_cpp_cmd="${python_interp} -m paddle_serving_server.serve --model ../../${det_serving_server_value} ../../${cls_serving_server_value} --op GeneralPicodetOp GeneralFeatureExtractOp --port 9400 --gpu_id=${use_gpu} &"
|
||||
eval ${web_service_cpp_cmd}
|
||||
sleep 5s
|
||||
_save_log_path="${LOG_PATH}/server_infer_cpp_gpu_batchsize_1.log"
|
||||
pipeline_cmd="${python_interp} ${pipeline_py} > ${_save_log_path} 2>&1 "
|
||||
eval ${pipeline_cmd}
|
||||
last_status=${PIPESTATUS[0]}
|
||||
eval "cat ${_save_log_path}"
|
||||
status_check ${last_status} "${pipeline_cmd}" "${status_log}" "${model_name}"
|
||||
eval "${python_} -m paddle_serving_server.serve stop"
|
||||
sleep 5s
|
||||
fi
|
||||
done
|
||||
else
|
||||
# modify the input_name in "recognition_web_service.py" to be consistent with feed_var.name in prototxt
|
||||
set_web_service_feed_var_cmd="sed -i '/preprocess/,/input_imgs}/s/{.*: input_imgs}/{${feed_var_name}: input_imgs}/' ${web_service_py}"
|
||||
eval ${set_web_service_feed_var_cmd}
|
||||
# python serving
|
||||
for use_gpu in ${web_use_gpu_list[*]}; do
|
||||
if [[ ${use_gpu} = "null" ]]; then
|
||||
device_type_line=24
|
||||
set_device_type_cmd="sed -i '${device_type_line}s/device_type: .*/device_type: 0/' config.yml"
|
||||
eval ${set_device_type_cmd}
|
||||
|
||||
devices_line=27
|
||||
set_devices_cmd="sed -i '${devices_line}s/devices: .*/devices: \"\"/' config.yml"
|
||||
eval ${set_devices_cmd}
|
||||
|
||||
web_service_cmd="${python} ${web_service_py} &"
|
||||
eval ${web_service_cmd}
|
||||
sleep 5s
|
||||
for pipeline in ${pipeline_py[*]}; do
|
||||
_save_log_path="${LOG_PATH}/server_infer_cpu_${pipeline%_client*}_batchsize_1.log"
|
||||
pipeline_cmd="${python} ${pipeline} > ${_save_log_path} 2>&1 "
|
||||
eval ${pipeline_cmd}
|
||||
last_status=${PIPESTATUS[0]}
|
||||
eval "cat ${_save_log_path}"
|
||||
status_check $last_status "${pipeline_cmd}" "${status_log}" "${model_name}"
|
||||
sleep 5s
|
||||
done
|
||||
eval "${python_} -m paddle_serving_server.serve stop"
|
||||
elif [ ${use_gpu} -eq 0 ]; then
|
||||
if [[ ${_flag_quant} = "False" ]] && [[ ${precision} =~ "int8" ]]; then
|
||||
continue
|
||||
fi
|
||||
if [[ ${precision} =~ "fp16" || ${precision} =~ "int8" ]] && [ ${use_trt} = "False" ]; then
|
||||
continue
|
||||
fi
|
||||
if [[ ${use_trt} = "False" || ${precision} =~ "int8" ]] && [[ ${_flag_quant} = "True" ]]; then
|
||||
continue
|
||||
fi
|
||||
|
||||
device_type_line=24
|
||||
set_device_type_cmd="sed -i '${device_type_line}s/device_type: .*/device_type: 1/' config.yml"
|
||||
eval ${set_device_type_cmd}
|
||||
|
||||
devices_line=27
|
||||
set_devices_cmd="sed -i '${devices_line}s/devices: .*/devices: \"${use_gpu}\"/' config.yml"
|
||||
eval ${set_devices_cmd}
|
||||
|
||||
web_service_cmd="${python} ${web_service_py} & "
|
||||
eval ${web_service_cmd}
|
||||
sleep 10s
|
||||
for pipeline in ${pipeline_py[*]}; do
|
||||
_save_log_path="${LOG_PATH}/server_infer_gpu_${pipeline%_client*}_batchsize_1.log"
|
||||
pipeline_cmd="${python} ${pipeline} > ${_save_log_path} 2>&1"
|
||||
eval ${pipeline_cmd}
|
||||
last_status=${PIPESTATUS[0]}
|
||||
eval "cat ${_save_log_path}"
|
||||
status_check $last_status "${pipeline_cmd}" "${status_log}" "${model_name}"
|
||||
sleep 10s
|
||||
done
|
||||
eval "${python_} -m paddle_serving_server.serve stop"
|
||||
else
|
||||
echo "Does not support hardware [${use_gpu}] other than CPU and GPU Currently!"
|
||||
fi
|
||||
done
|
||||
fi
|
||||
}
|
||||
|
||||
|
||||
# set cuda device
|
||||
GPUID=$2
|
||||
if [ ${#GPUID} -le 0 ];then
|
||||
env=" "
|
||||
else
|
||||
env="export CUDA_VISIBLE_DEVICES=${GPUID}"
|
||||
fi
|
||||
set CUDA_VISIBLE_DEVICES
|
||||
eval ${env}
|
||||
|
||||
|
||||
echo "################### run test ###################"
|
||||
|
||||
export Count=0
|
||||
IFS="|"
|
||||
if [[ ${model_name} =~ "ShiTu" ]]; then
|
||||
func_serving_rec
|
||||
else
|
||||
func_serving_cls
|
||||
fi
|
||||
|
|
@ -0,0 +1,262 @@
|
|||
#!/bin/bash
|
||||
source test_tipc/common_func.sh
|
||||
|
||||
FILENAME=$1
|
||||
dataline=$(awk 'NR==1, NR==19{print}' $FILENAME)
|
||||
|
||||
# parser params
|
||||
IFS=$'\n'
|
||||
lines=(${dataline})
|
||||
|
||||
function func_get_url_file_name(){
|
||||
strs=$1
|
||||
IFS="/"
|
||||
array=(${strs})
|
||||
tmp=${array[${#array[@]}-1]}
|
||||
echo ${tmp}
|
||||
}
|
||||
|
||||
# parser serving
|
||||
model_name=$(func_parser_value "${lines[1]}")
|
||||
python=$(func_parser_value "${lines[2]}")
|
||||
trans_model_py=$(func_parser_value "${lines[4]}")
|
||||
infer_model_dir_key=$(func_parser_key "${lines[5]}")
|
||||
infer_model_dir_value=$(func_parser_value "${lines[5]}")
|
||||
model_filename_key=$(func_parser_key "${lines[6]}")
|
||||
model_filename_value=$(func_parser_value "${lines[6]}")
|
||||
params_filename_key=$(func_parser_key "${lines[7]}")
|
||||
params_filename_value=$(func_parser_value "${lines[7]}")
|
||||
serving_server_key=$(func_parser_key "${lines[8]}")
|
||||
serving_server_value=$(func_parser_value "${lines[8]}")
|
||||
serving_client_key=$(func_parser_key "${lines[9]}")
|
||||
serving_client_value=$(func_parser_value "${lines[9]}")
|
||||
serving_dir_value=$(func_parser_value "${lines[10]}")
|
||||
web_service_py=$(func_parser_value "${lines[11]}")
|
||||
web_use_gpu_key=$(func_parser_key "${lines[12]}")
|
||||
web_use_gpu_list=$(func_parser_value "${lines[12]}")
|
||||
pipeline_py=$(func_parser_value "${lines[13]}")
|
||||
|
||||
|
||||
function func_serving_cls(){
|
||||
LOG_PATH="test_tipc/output/${model_name}"
|
||||
mkdir -p ${LOG_PATH}
|
||||
LOG_PATH="../../${LOG_PATH}"
|
||||
status_log="${LOG_PATH}/results_serving.log"
|
||||
IFS='|'
|
||||
|
||||
# pdserving
|
||||
set_dirname=$(func_set_params "${infer_model_dir_key}" "${infer_model_dir_value}")
|
||||
set_model_filename=$(func_set_params "${model_filename_key}" "${model_filename_value}")
|
||||
set_params_filename=$(func_set_params "${params_filename_key}" "${params_filename_value}")
|
||||
set_serving_server=$(func_set_params "${serving_server_key}" "${serving_server_value}")
|
||||
set_serving_client=$(func_set_params "${serving_client_key}" "${serving_client_value}")
|
||||
|
||||
for python_ in ${python[*]}; do
|
||||
if [[ ${python_} =~ "python" ]]; then
|
||||
trans_model_cmd="${python_} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client}"
|
||||
eval ${trans_model_cmd}
|
||||
break
|
||||
fi
|
||||
done
|
||||
|
||||
# modify the alias_name of fetch_var to "outputs"
|
||||
server_fetch_var_line_cmd="sed -i '/fetch_var/,/is_lod_tensor/s/alias_name: .*/alias_name: \"prediction\"/' ${serving_server_value}/serving_server_conf.prototxt"
|
||||
eval ${server_fetch_var_line_cmd}
|
||||
|
||||
client_fetch_var_line_cmd="sed -i '/fetch_var/,/is_lod_tensor/s/alias_name: .*/alias_name: \"prediction\"/' ${serving_client_value}/serving_client_conf.prototxt"
|
||||
eval ${client_fetch_var_line_cmd}
|
||||
|
||||
prototxt_dataline=$(awk 'NR==1, NR==3{print}' ${serving_server_value}/serving_server_conf.prototxt)
|
||||
IFS=$'\n'
|
||||
prototxt_lines=(${prototxt_dataline})
|
||||
feed_var_name=$(func_parser_value "${prototxt_lines[2]}")
|
||||
IFS='|'
|
||||
|
||||
cd ${serving_dir_value}
|
||||
unset https_proxy
|
||||
unset http_proxy
|
||||
|
||||
for item in ${python[*]}; do
|
||||
if [[ ${item} =~ "python" ]]; then
|
||||
python_=${item}
|
||||
break
|
||||
fi
|
||||
done
|
||||
serving_client_dir_name=$(func_get_url_file_name "$serving_client_value")
|
||||
set_client_feed_type_cmd="sed -i '/feed_type/,/: .*/s/feed_type: .*/feed_type: 20/' ${serving_client_dir_name}/serving_client_conf.prototxt"
|
||||
eval ${set_client_feed_type_cmd}
|
||||
set_client_shape_cmd="sed -i '/shape: 3/,/shape: 3/s/shape: 3/shape: 1/' ${serving_client_dir_name}/serving_client_conf.prototxt"
|
||||
eval ${set_client_shape_cmd}
|
||||
set_client_shape224_cmd="sed -i '/shape: 224/,/shape: 224/s/shape: 224//' ${serving_client_dir_name}/serving_client_conf.prototxt"
|
||||
eval ${set_client_shape224_cmd}
|
||||
set_client_shape224_cmd="sed -i '/shape: 224/,/shape: 224/s/shape: 224//' ${serving_client_dir_name}/serving_client_conf.prototxt"
|
||||
eval ${set_client_shape224_cmd}
|
||||
|
||||
set_pipeline_load_config_cmd="sed -i '/load_client_config/,/.prototxt/s/.\/.*\/serving_client_conf.prototxt/.\/${serving_client_dir_name}\/serving_client_conf.prototxt/' ${pipeline_py}"
|
||||
eval ${set_pipeline_load_config_cmd}
|
||||
|
||||
set_pipeline_feed_var_cmd="sed -i '/feed=/,/: image}/s/feed={.*: image}/feed={${feed_var_name}: image}/' ${pipeline_py}"
|
||||
eval ${set_pipeline_feed_var_cmd}
|
||||
|
||||
serving_server_dir_name=$(func_get_url_file_name "$serving_server_value")
|
||||
|
||||
for use_gpu in ${web_use_gpu_list[*]}; do
|
||||
if [[ ${use_gpu} = "null" ]]; then
|
||||
web_service_cpp_cmd="${python_} -m paddle_serving_server.serve --model ${serving_server_dir_name} --op GeneralClasOp --port 9292 &"
|
||||
eval ${web_service_cpp_cmd}
|
||||
sleep 5s
|
||||
_save_log_path="${LOG_PATH}/server_infer_cpp_cpu_pipeline_batchsize_1.log"
|
||||
pipeline_cmd="${python_} test_cpp_serving_client.py > ${_save_log_path} 2>&1 "
|
||||
eval ${pipeline_cmd}
|
||||
last_status=${PIPESTATUS[0]}
|
||||
eval "cat ${_save_log_path}"
|
||||
status_check ${last_status} "${pipeline_cmd}" "${status_log}" "${model_name}"
|
||||
eval "${python_} -m paddle_serving_server.serve stop"
|
||||
sleep 5s
|
||||
else
|
||||
web_service_cpp_cmd="${python_} -m paddle_serving_server.serve --model ${serving_server_dir_name} --op GeneralClasOp --port 9292 --gpu_id=${use_gpu} &"
|
||||
eval ${web_service_cpp_cmd}
|
||||
sleep 8s
|
||||
|
||||
_save_log_path="${LOG_PATH}/server_infer_cpp_gpu_pipeline_batchsize_1.log"
|
||||
pipeline_cmd="${python_} test_cpp_serving_client.py > ${_save_log_path} 2>&1 "
|
||||
eval ${pipeline_cmd}
|
||||
last_status=${PIPESTATUS[0]}
|
||||
eval "cat ${_save_log_path}"
|
||||
status_check ${last_status} "${pipeline_cmd}" "${status_log}" "${model_name}"
|
||||
sleep 5s
|
||||
eval "${python_} -m paddle_serving_server.serve stop"
|
||||
fi
|
||||
done
|
||||
}
|
||||
|
||||
|
||||
function func_serving_rec(){
|
||||
LOG_PATH="test_tipc/output/${model_name}"
|
||||
mkdir -p ${LOG_PATH}
|
||||
LOG_PATH="../../../${LOG_PATH}"
|
||||
status_log="${LOG_PATH}/results_serving.log"
|
||||
trans_model_py=$(func_parser_value "${lines[5]}")
|
||||
cls_infer_model_dir_key=$(func_parser_key "${lines[6]}")
|
||||
cls_infer_model_dir_value=$(func_parser_value "${lines[6]}")
|
||||
det_infer_model_dir_key=$(func_parser_key "${lines[7]}")
|
||||
det_infer_model_dir_value=$(func_parser_value "${lines[7]}")
|
||||
model_filename_key=$(func_parser_key "${lines[8]}")
|
||||
model_filename_value=$(func_parser_value "${lines[8]}")
|
||||
params_filename_key=$(func_parser_key "${lines[9]}")
|
||||
params_filename_value=$(func_parser_value "${lines[9]}")
|
||||
|
||||
cls_serving_server_key=$(func_parser_key "${lines[10]}")
|
||||
cls_serving_server_value=$(func_parser_value "${lines[10]}")
|
||||
cls_serving_client_key=$(func_parser_key "${lines[11]}")
|
||||
cls_serving_client_value=$(func_parser_value "${lines[11]}")
|
||||
|
||||
det_serving_server_key=$(func_parser_key "${lines[12]}")
|
||||
det_serving_server_value=$(func_parser_value "${lines[12]}")
|
||||
det_serving_client_key=$(func_parser_key "${lines[13]}")
|
||||
det_serving_client_value=$(func_parser_value "${lines[13]}")
|
||||
|
||||
serving_dir_value=$(func_parser_value "${lines[14]}")
|
||||
web_service_py=$(func_parser_value "${lines[15]}")
|
||||
web_use_gpu_key=$(func_parser_key "${lines[16]}")
|
||||
web_use_gpu_list=$(func_parser_value "${lines[16]}")
|
||||
pipeline_py=$(func_parser_value "${lines[17]}")
|
||||
|
||||
IFS='|'
|
||||
for python_ in ${python[*]}; do
|
||||
if [[ ${python_} =~ "python" ]]; then
|
||||
python_interp=${python_}
|
||||
break
|
||||
fi
|
||||
done
|
||||
|
||||
# pdserving
|
||||
cd ./deploy
|
||||
set_dirname=$(func_set_params "${cls_infer_model_dir_key}" "${cls_infer_model_dir_value}")
|
||||
set_model_filename=$(func_set_params "${model_filename_key}" "${model_filename_value}")
|
||||
set_params_filename=$(func_set_params "${params_filename_key}" "${params_filename_value}")
|
||||
set_serving_server=$(func_set_params "${cls_serving_server_key}" "${cls_serving_server_value}")
|
||||
set_serving_client=$(func_set_params "${cls_serving_client_key}" "${cls_serving_client_value}")
|
||||
cls_trans_model_cmd="${python_interp} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client}"
|
||||
eval ${cls_trans_model_cmd}
|
||||
|
||||
set_dirname=$(func_set_params "${det_infer_model_dir_key}" "${det_infer_model_dir_value}")
|
||||
set_model_filename=$(func_set_params "${model_filename_key}" "${model_filename_value}")
|
||||
set_params_filename=$(func_set_params "${params_filename_key}" "${params_filename_value}")
|
||||
set_serving_server=$(func_set_params "${det_serving_server_key}" "${det_serving_server_value}")
|
||||
set_serving_client=$(func_set_params "${det_serving_client_key}" "${det_serving_client_value}")
|
||||
det_trans_model_cmd="${python_interp} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client}"
|
||||
eval ${det_trans_model_cmd}
|
||||
|
||||
cp_prototxt_cmd="cp ./paddleserving/recognition/preprocess/general_PPLCNet_x2_5_lite_v1.0_serving/*.prototxt ${cls_serving_server_value}"
|
||||
eval ${cp_prototxt_cmd}
|
||||
cp_prototxt_cmd="cp ./paddleserving/recognition/preprocess/general_PPLCNet_x2_5_lite_v1.0_client/*.prototxt ${cls_serving_client_value}"
|
||||
eval ${cp_prototxt_cmd}
|
||||
cp_prototxt_cmd="cp ./paddleserving/recognition/preprocess/picodet_PPLCNet_x2_5_mainbody_lite_v1.0_client/*.prototxt ${det_serving_client_value}"
|
||||
eval ${cp_prototxt_cmd}
|
||||
cp_prototxt_cmd="cp ./paddleserving/recognition/preprocess/picodet_PPLCNet_x2_5_mainbody_lite_v1.0_serving/*.prototxt ${det_serving_server_value}"
|
||||
eval ${cp_prototxt_cmd}
|
||||
|
||||
prototxt_dataline=$(awk 'NR==1, NR==3{print}' ${cls_serving_server_value}/serving_server_conf.prototxt)
|
||||
IFS=$'\n'
|
||||
prototxt_lines=(${prototxt_dataline})
|
||||
feed_var_name=$(func_parser_value "${prototxt_lines[2]}")
|
||||
IFS='|'
|
||||
|
||||
cd ${serving_dir_value}
|
||||
unset https_proxy
|
||||
unset http_proxy
|
||||
|
||||
export SERVING_BIN=${PWD}/../Serving/server-build-gpu-opencv/core/general-server/serving
|
||||
for use_gpu in ${web_use_gpu_list[*]}; do
|
||||
if [ ${use_gpu} = "null" ]; then
|
||||
det_serving_server_dir_name=$(func_get_url_file_name "$det_serving_server_value")
|
||||
web_service_cpp_cmd="${python_interp} -m paddle_serving_server.serve --model ../../${det_serving_server_value} ../../${cls_serving_server_value} --op GeneralPicodetOp GeneralFeatureExtractOp --port 9400 &"
|
||||
eval ${web_service_cpp_cmd}
|
||||
sleep 5s
|
||||
_save_log_path="${LOG_PATH}/server_infer_cpp_cpu_batchsize_1.log"
|
||||
pipeline_cmd="${python_interp} ${pipeline_py} > ${_save_log_path} 2>&1 "
|
||||
eval ${pipeline_cmd}
|
||||
last_status=${PIPESTATUS[0]}
|
||||
eval "cat ${_save_log_path}"
|
||||
status_check ${last_status} "${pipeline_cmd}" "${status_log}" "${model_name}"
|
||||
eval "${python_} -m paddle_serving_server.serve stop"
|
||||
sleep 5s
|
||||
else
|
||||
det_serving_server_dir_name=$(func_get_url_file_name "$det_serving_server_value")
|
||||
web_service_cpp_cmd="${python_interp} -m paddle_serving_server.serve --model ../../${det_serving_server_value} ../../${cls_serving_server_value} --op GeneralPicodetOp GeneralFeatureExtractOp --port 9400 --gpu_id=${use_gpu} &"
|
||||
eval ${web_service_cpp_cmd}
|
||||
sleep 5s
|
||||
_save_log_path="${LOG_PATH}/server_infer_cpp_gpu_batchsize_1.log"
|
||||
pipeline_cmd="${python_interp} ${pipeline_py} > ${_save_log_path} 2>&1 "
|
||||
eval ${pipeline_cmd}
|
||||
last_status=${PIPESTATUS[0]}
|
||||
eval "cat ${_save_log_path}"
|
||||
status_check ${last_status} "${pipeline_cmd}" "${status_log}" "${model_name}"
|
||||
eval "${python_} -m paddle_serving_server.serve stop"
|
||||
sleep 5s
|
||||
fi
|
||||
done
|
||||
}
|
||||
|
||||
|
||||
# set cuda device
|
||||
GPUID=$2
|
||||
if [ ${#GPUID} -le 0 ];then
|
||||
env=" "
|
||||
else
|
||||
env="export CUDA_VISIBLE_DEVICES=${GPUID}"
|
||||
fi
|
||||
set CUDA_VISIBLE_DEVICES
|
||||
eval ${env}
|
||||
|
||||
|
||||
echo "################### run test ###################"
|
||||
|
||||
export Count=0
|
||||
IFS="|"
|
||||
if [[ ${model_name} =~ "ShiTu" ]]; then
|
||||
func_serving_rec
|
||||
else
|
||||
func_serving_cls
|
||||
fi
|
||||
|
|
@ -0,0 +1,309 @@
|
|||
#!/bin/bash
|
||||
source test_tipc/common_func.sh
|
||||
|
||||
FILENAME=$1
|
||||
dataline=$(awk 'NR==1, NR==19{print}' $FILENAME)
|
||||
|
||||
# parser params
|
||||
IFS=$'\n'
|
||||
lines=(${dataline})
|
||||
|
||||
function func_get_url_file_name(){
|
||||
strs=$1
|
||||
IFS="/"
|
||||
array=(${strs})
|
||||
tmp=${array[${#array[@]}-1]}
|
||||
echo ${tmp}
|
||||
}
|
||||
|
||||
# parser serving
|
||||
model_name=$(func_parser_value "${lines[1]}")
|
||||
python=$(func_parser_value "${lines[2]}")
|
||||
trans_model_py=$(func_parser_value "${lines[4]}")
|
||||
infer_model_dir_key=$(func_parser_key "${lines[5]}")
|
||||
infer_model_dir_value=$(func_parser_value "${lines[5]}")
|
||||
model_filename_key=$(func_parser_key "${lines[6]}")
|
||||
model_filename_value=$(func_parser_value "${lines[6]}")
|
||||
params_filename_key=$(func_parser_key "${lines[7]}")
|
||||
params_filename_value=$(func_parser_value "${lines[7]}")
|
||||
serving_server_key=$(func_parser_key "${lines[8]}")
|
||||
serving_server_value=$(func_parser_value "${lines[8]}")
|
||||
serving_client_key=$(func_parser_key "${lines[9]}")
|
||||
serving_client_value=$(func_parser_value "${lines[9]}")
|
||||
serving_dir_value=$(func_parser_value "${lines[10]}")
|
||||
web_service_py=$(func_parser_value "${lines[11]}")
|
||||
web_use_gpu_key=$(func_parser_key "${lines[12]}")
|
||||
web_use_gpu_list=$(func_parser_value "${lines[12]}")
|
||||
pipeline_py=$(func_parser_value "${lines[13]}")
|
||||
|
||||
|
||||
function func_serving_cls(){
|
||||
LOG_PATH="test_tipc/output/${model_name}"
|
||||
mkdir -p ${LOG_PATH}
|
||||
LOG_PATH="../../${LOG_PATH}"
|
||||
status_log="${LOG_PATH}/results_serving.log"
|
||||
IFS='|'
|
||||
|
||||
# pdserving
|
||||
set_dirname=$(func_set_params "${infer_model_dir_key}" "${infer_model_dir_value}")
|
||||
set_model_filename=$(func_set_params "${model_filename_key}" "${model_filename_value}")
|
||||
set_params_filename=$(func_set_params "${params_filename_key}" "${params_filename_value}")
|
||||
set_serving_server=$(func_set_params "${serving_server_key}" "${serving_server_value}")
|
||||
set_serving_client=$(func_set_params "${serving_client_key}" "${serving_client_value}")
|
||||
|
||||
for python_ in ${python[*]}; do
|
||||
if [[ ${python_} =~ "python" ]]; then
|
||||
trans_model_cmd="${python_} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client}"
|
||||
eval ${trans_model_cmd}
|
||||
break
|
||||
fi
|
||||
done
|
||||
|
||||
# modify the alias_name of fetch_var to "outputs"
|
||||
server_fetch_var_line_cmd="sed -i '/fetch_var/,/is_lod_tensor/s/alias_name: .*/alias_name: \"prediction\"/' ${serving_server_value}/serving_server_conf.prototxt"
|
||||
eval ${server_fetch_var_line_cmd}
|
||||
|
||||
client_fetch_var_line_cmd="sed -i '/fetch_var/,/is_lod_tensor/s/alias_name: .*/alias_name: \"prediction\"/' ${serving_client_value}/serving_client_conf.prototxt"
|
||||
eval ${client_fetch_var_line_cmd}
|
||||
|
||||
prototxt_dataline=$(awk 'NR==1, NR==3{print}' ${serving_server_value}/serving_server_conf.prototxt)
|
||||
IFS=$'\n'
|
||||
prototxt_lines=(${prototxt_dataline})
|
||||
feed_var_name=$(func_parser_value "${prototxt_lines[2]}")
|
||||
IFS='|'
|
||||
|
||||
cd ${serving_dir_value}
|
||||
unset https_proxy
|
||||
unset http_proxy
|
||||
|
||||
# python serving
|
||||
# modify the input_name in "classification_web_service.py" to be consistent with feed_var.name in prototxt
|
||||
set_web_service_feed_var_cmd="sed -i '/preprocess/,/input_imgs}/s/{.*: input_imgs}/{${feed_var_name}: input_imgs}/' ${web_service_py}"
|
||||
eval ${set_web_service_feed_var_cmd}
|
||||
|
||||
model_config=21
|
||||
serving_server_dir_name=$(func_get_url_file_name "$serving_server_value")
|
||||
set_model_config_cmd="sed -i '${model_config}s/model_config: .*/model_config: ${serving_server_dir_name}/' config.yml"
|
||||
eval ${set_model_config_cmd}
|
||||
|
||||
for use_gpu in ${web_use_gpu_list[*]}; do
|
||||
if [[ ${use_gpu} = "null" ]]; then
|
||||
device_type_line=24
|
||||
set_device_type_cmd="sed -i '${device_type_line}s/device_type: .*/device_type: 0/' config.yml"
|
||||
eval ${set_device_type_cmd}
|
||||
|
||||
devices_line=27
|
||||
set_devices_cmd="sed -i '${devices_line}s/devices: .*/devices: \"\"/' config.yml"
|
||||
eval ${set_devices_cmd}
|
||||
|
||||
web_service_cmd="${python_} ${web_service_py} &"
|
||||
eval ${web_service_cmd}
|
||||
sleep 5s
|
||||
for pipeline in ${pipeline_py[*]}; do
|
||||
_save_log_path="${LOG_PATH}/server_infer_cpu_${pipeline%_client*}_batchsize_1.log"
|
||||
pipeline_cmd="${python_} ${pipeline} > ${_save_log_path} 2>&1 "
|
||||
eval ${pipeline_cmd}
|
||||
last_status=${PIPESTATUS[0]}
|
||||
eval "cat ${_save_log_path}"
|
||||
status_check $last_status "${pipeline_cmd}" "${status_log}" "${model_name}"
|
||||
sleep 5s
|
||||
done
|
||||
eval "${python_} -m paddle_serving_server.serve stop"
|
||||
elif [ ${use_gpu} -eq 0 ]; then
|
||||
if [[ ${_flag_quant} = "False" ]] && [[ ${precision} =~ "int8" ]]; then
|
||||
continue
|
||||
fi
|
||||
if [[ ${precision} =~ "fp16" || ${precision} =~ "int8" ]] && [ ${use_trt} = "False" ]; then
|
||||
continue
|
||||
fi
|
||||
if [[ ${use_trt} = "False" || ${precision} =~ "int8" ]] && [[ ${_flag_quant} = "True" ]]; then
|
||||
continue
|
||||
fi
|
||||
|
||||
device_type_line=24
|
||||
set_device_type_cmd="sed -i '${device_type_line}s/device_type: .*/device_type: 1/' config.yml"
|
||||
eval ${set_device_type_cmd}
|
||||
|
||||
devices_line=27
|
||||
set_devices_cmd="sed -i '${devices_line}s/devices: .*/devices: \"${use_gpu}\"/' config.yml"
|
||||
eval ${set_devices_cmd}
|
||||
|
||||
web_service_cmd="${python_} ${web_service_py} & "
|
||||
eval ${web_service_cmd}
|
||||
sleep 5s
|
||||
for pipeline in ${pipeline_py[*]}; do
|
||||
_save_log_path="${LOG_PATH}/server_infer_gpu_${pipeline%_client*}_batchsize_1.log"
|
||||
pipeline_cmd="${python_} ${pipeline} > ${_save_log_path} 2>&1"
|
||||
eval ${pipeline_cmd}
|
||||
last_status=${PIPESTATUS[0]}
|
||||
eval "cat ${_save_log_path}"
|
||||
status_check $last_status "${pipeline_cmd}" "${status_log}" "${model_name}"
|
||||
sleep 5s
|
||||
done
|
||||
eval "${python_} -m paddle_serving_server.serve stop"
|
||||
else
|
||||
echo "Does not support hardware [${use_gpu}] other than CPU and GPU Currently!"
|
||||
fi
|
||||
done
|
||||
}
|
||||
|
||||
|
||||
function func_serving_rec(){
|
||||
LOG_PATH="test_tipc/output/${model_name}"
|
||||
mkdir -p ${LOG_PATH}
|
||||
LOG_PATH="../../../${LOG_PATH}"
|
||||
status_log="${LOG_PATH}/results_serving.log"
|
||||
trans_model_py=$(func_parser_value "${lines[5]}")
|
||||
cls_infer_model_dir_key=$(func_parser_key "${lines[6]}")
|
||||
cls_infer_model_dir_value=$(func_parser_value "${lines[6]}")
|
||||
det_infer_model_dir_key=$(func_parser_key "${lines[7]}")
|
||||
det_infer_model_dir_value=$(func_parser_value "${lines[7]}")
|
||||
model_filename_key=$(func_parser_key "${lines[8]}")
|
||||
model_filename_value=$(func_parser_value "${lines[8]}")
|
||||
params_filename_key=$(func_parser_key "${lines[9]}")
|
||||
params_filename_value=$(func_parser_value "${lines[9]}")
|
||||
|
||||
cls_serving_server_key=$(func_parser_key "${lines[10]}")
|
||||
cls_serving_server_value=$(func_parser_value "${lines[10]}")
|
||||
cls_serving_client_key=$(func_parser_key "${lines[11]}")
|
||||
cls_serving_client_value=$(func_parser_value "${lines[11]}")
|
||||
|
||||
det_serving_server_key=$(func_parser_key "${lines[12]}")
|
||||
det_serving_server_value=$(func_parser_value "${lines[12]}")
|
||||
det_serving_client_key=$(func_parser_key "${lines[13]}")
|
||||
det_serving_client_value=$(func_parser_value "${lines[13]}")
|
||||
|
||||
serving_dir_value=$(func_parser_value "${lines[14]}")
|
||||
web_service_py=$(func_parser_value "${lines[15]}")
|
||||
web_use_gpu_key=$(func_parser_key "${lines[16]}")
|
||||
web_use_gpu_list=$(func_parser_value "${lines[16]}")
|
||||
pipeline_py=$(func_parser_value "${lines[17]}")
|
||||
|
||||
IFS='|'
|
||||
for python_ in ${python[*]}; do
|
||||
if [[ ${python_} =~ "python" ]]; then
|
||||
python_interp=${python_}
|
||||
break
|
||||
fi
|
||||
done
|
||||
|
||||
# pdserving
|
||||
cd ./deploy
|
||||
set_dirname=$(func_set_params "${cls_infer_model_dir_key}" "${cls_infer_model_dir_value}")
|
||||
set_model_filename=$(func_set_params "${model_filename_key}" "${model_filename_value}")
|
||||
set_params_filename=$(func_set_params "${params_filename_key}" "${params_filename_value}")
|
||||
set_serving_server=$(func_set_params "${cls_serving_server_key}" "${cls_serving_server_value}")
|
||||
set_serving_client=$(func_set_params "${cls_serving_client_key}" "${cls_serving_client_value}")
|
||||
cls_trans_model_cmd="${python_interp} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client}"
|
||||
eval ${cls_trans_model_cmd}
|
||||
|
||||
set_dirname=$(func_set_params "${det_infer_model_dir_key}" "${det_infer_model_dir_value}")
|
||||
set_model_filename=$(func_set_params "${model_filename_key}" "${model_filename_value}")
|
||||
set_params_filename=$(func_set_params "${params_filename_key}" "${params_filename_value}")
|
||||
set_serving_server=$(func_set_params "${det_serving_server_key}" "${det_serving_server_value}")
|
||||
set_serving_client=$(func_set_params "${det_serving_client_key}" "${det_serving_client_value}")
|
||||
det_trans_model_cmd="${python_interp} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client}"
|
||||
eval ${det_trans_model_cmd}
|
||||
|
||||
# modify the alias_name of fetch_var to "outputs"
|
||||
server_fetch_var_line_cmd="sed -i '/fetch_var/,/is_lod_tensor/s/alias_name: .*/alias_name: \"features\"/' $cls_serving_server_value/serving_server_conf.prototxt"
|
||||
eval ${server_fetch_var_line_cmd}
|
||||
client_fetch_var_line_cmd="sed -i '/fetch_var/,/is_lod_tensor/s/alias_name: .*/alias_name: \"features\"/' $cls_serving_client_value/serving_client_conf.prototxt"
|
||||
eval ${client_fetch_var_line_cmd}
|
||||
|
||||
prototxt_dataline=$(awk 'NR==1, NR==3{print}' ${cls_serving_server_value}/serving_server_conf.prototxt)
|
||||
IFS=$'\n'
|
||||
prototxt_lines=(${prototxt_dataline})
|
||||
feed_var_name=$(func_parser_value "${prototxt_lines[2]}")
|
||||
IFS='|'
|
||||
|
||||
cd ${serving_dir_value}
|
||||
unset https_proxy
|
||||
unset http_proxy
|
||||
|
||||
# modify the input_name in "recognition_web_service.py" to be consistent with feed_var.name in prototxt
|
||||
set_web_service_feed_var_cmd="sed -i '/preprocess/,/input_imgs}/s/{.*: input_imgs}/{${feed_var_name}: input_imgs}/' ${web_service_py}"
|
||||
eval ${set_web_service_feed_var_cmd}
|
||||
# python serving
|
||||
for use_gpu in ${web_use_gpu_list[*]}; do
|
||||
if [[ ${use_gpu} = "null" ]]; then
|
||||
device_type_line=24
|
||||
set_device_type_cmd="sed -i '${device_type_line}s/device_type: .*/device_type: 0/' config.yml"
|
||||
eval ${set_device_type_cmd}
|
||||
|
||||
devices_line=27
|
||||
set_devices_cmd="sed -i '${devices_line}s/devices: .*/devices: \"\"/' config.yml"
|
||||
eval ${set_devices_cmd}
|
||||
|
||||
web_service_cmd="${python} ${web_service_py} &"
|
||||
eval ${web_service_cmd}
|
||||
sleep 5s
|
||||
for pipeline in ${pipeline_py[*]}; do
|
||||
_save_log_path="${LOG_PATH}/server_infer_cpu_${pipeline%_client*}_batchsize_1.log"
|
||||
pipeline_cmd="${python} ${pipeline} > ${_save_log_path} 2>&1 "
|
||||
eval ${pipeline_cmd}
|
||||
last_status=${PIPESTATUS[0]}
|
||||
eval "cat ${_save_log_path}"
|
||||
status_check $last_status "${pipeline_cmd}" "${status_log}" "${model_name}"
|
||||
sleep 5s
|
||||
done
|
||||
eval "${python_} -m paddle_serving_server.serve stop"
|
||||
elif [ ${use_gpu} -eq 0 ]; then
|
||||
if [[ ${_flag_quant} = "False" ]] && [[ ${precision} =~ "int8" ]]; then
|
||||
continue
|
||||
fi
|
||||
if [[ ${precision} =~ "fp16" || ${precision} =~ "int8" ]] && [ ${use_trt} = "False" ]; then
|
||||
continue
|
||||
fi
|
||||
if [[ ${use_trt} = "False" || ${precision} =~ "int8" ]] && [[ ${_flag_quant} = "True" ]]; then
|
||||
continue
|
||||
fi
|
||||
|
||||
device_type_line=24
|
||||
set_device_type_cmd="sed -i '${device_type_line}s/device_type: .*/device_type: 1/' config.yml"
|
||||
eval ${set_device_type_cmd}
|
||||
|
||||
devices_line=27
|
||||
set_devices_cmd="sed -i '${devices_line}s/devices: .*/devices: \"${use_gpu}\"/' config.yml"
|
||||
eval ${set_devices_cmd}
|
||||
|
||||
web_service_cmd="${python} ${web_service_py} & "
|
||||
eval ${web_service_cmd}
|
||||
sleep 10s
|
||||
for pipeline in ${pipeline_py[*]}; do
|
||||
_save_log_path="${LOG_PATH}/server_infer_gpu_${pipeline%_client*}_batchsize_1.log"
|
||||
pipeline_cmd="${python} ${pipeline} > ${_save_log_path} 2>&1"
|
||||
eval ${pipeline_cmd}
|
||||
last_status=${PIPESTATUS[0]}
|
||||
eval "cat ${_save_log_path}"
|
||||
status_check $last_status "${pipeline_cmd}" "${status_log}" "${model_name}"
|
||||
sleep 10s
|
||||
done
|
||||
eval "${python_} -m paddle_serving_server.serve stop"
|
||||
else
|
||||
echo "Does not support hardware [${use_gpu}] other than CPU and GPU Currently!"
|
||||
fi
|
||||
done
|
||||
}
|
||||
|
||||
|
||||
# set cuda device
|
||||
GPUID=$2
|
||||
if [ ${#GPUID} -le 0 ];then
|
||||
env=" "
|
||||
else
|
||||
env="export CUDA_VISIBLE_DEVICES=${GPUID}"
|
||||
fi
|
||||
set CUDA_VISIBLE_DEVICES
|
||||
eval ${env}
|
||||
|
||||
|
||||
echo "################### run test ###################"
|
||||
|
||||
export Count=0
|
||||
IFS="|"
|
||||
if [[ ${model_name} =~ "ShiTu" ]]; then
|
||||
func_serving_rec
|
||||
else
|
||||
func_serving_cls
|
||||
fi
|
||||
Loading…
Reference in New Issue