mirror of
https://github.com/PaddlePaddle/PaddleOCR.git
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176 lines
8.8 KiB
Bash
176 lines
8.8 KiB
Bash
#!/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==18{print}' $FILENAME)
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# parser params
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IFS=$'\n'
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lines=(${dataline})
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# parser serving
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model_name=$(func_parser_value "${lines[1]}")
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python_list=$(func_parser_value "${lines[2]}")
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trans_model_py=$(func_parser_value "${lines[3]}")
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infer_model_dir_key=$(func_parser_key "${lines[4]}")
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infer_model_dir_value=$(func_parser_value "${lines[4]}")
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model_filename_key=$(func_parser_key "${lines[5]}")
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model_filename_value=$(func_parser_value "${lines[5]}")
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params_filename_key=$(func_parser_key "${lines[6]}")
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params_filename_value=$(func_parser_value "${lines[6]}")
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serving_server_key=$(func_parser_key "${lines[7]}")
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serving_server_value=$(func_parser_value "${lines[7]}")
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serving_client_key=$(func_parser_key "${lines[8]}")
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serving_client_value=$(func_parser_value "${lines[8]}")
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serving_dir_value=$(func_parser_value "${lines[9]}")
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web_service_py=$(func_parser_value "${lines[10]}")
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web_use_gpu_key=$(func_parser_key "${lines[11]}")
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web_use_gpu_list=$(func_parser_value "${lines[11]}")
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web_use_mkldnn_key=$(func_parser_key "${lines[12]}")
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web_use_mkldnn_list=$(func_parser_value "${lines[12]}")
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web_cpu_threads_key=$(func_parser_key "${lines[13]}")
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web_cpu_threads_list=$(func_parser_value "${lines[13]}")
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web_use_trt_key=$(func_parser_key "${lines[14]}")
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web_use_trt_list=$(func_parser_value "${lines[14]}")
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web_precision_key=$(func_parser_key "${lines[15]}")
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web_precision_list=$(func_parser_value "${lines[15]}")
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pipeline_py=$(func_parser_value "${lines[16]}")
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image_dir_key=$(func_parser_key "${lines[17]}")
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image_dir_value=$(func_parser_value "${lines[17]}")
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LOG_PATH="../../test_tipc/output"
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mkdir -p ./test_tipc/output
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status_log="${LOG_PATH}/results_serving.log"
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function func_serving(){
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IFS='|'
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_python=$1
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_script=$2
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_model_dir=$3
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# pdserving
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set_dirname=$(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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set_image_dir=$(func_set_params "${image_dir_key}" "${image_dir_value}")
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python_list=(${python_list})
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trans_model_cmd="${python_list[0]} ${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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cd ${serving_dir_value}
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unset https_proxy
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unset http_proxy
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for python in ${python_list[*]}; do
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if [ ${python} = "cpp" ]; then
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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_list[0]} -m paddle_serving_server.serve --model ppocr_det_mobile_2.0_serving/ ppocr_rec_mobile_2.0_serving/ --port 9293"
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eval $web_service_cpp_cmd
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last_status=${PIPESTATUS[0]}
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status_check $last_status "${web_service_cpp_cmd}" "${status_log}"
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sleep 2s
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_save_log_path="${LOG_PATH}/server_infer_cpp_cpu_pipeline_usemkldnn_False_threads_4_batchsize_1.log"
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pipeline_cmd="${python_list[0]} ocr_cpp_client.py ppocr_det_mobile_2.0_client/ ppocr_rec_mobile_2.0_client/"
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eval $pipeline_cmd
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last_status=${PIPESTATUS[0]}
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status_check $last_status "${pipeline_cmd}" "${status_log}"
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sleep 2s
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ps ux | grep -E 'web_service|pipeline' | awk '{print $2}' | xargs kill -s 9
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else
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web_service_cpp_cmd="${python_list[0]} -m paddle_serving_server.serve --model ppocr_det_mobile_2.0_serving/ ppocr_rec_mobile_2.0_serving/ --port 9293 --gpu_id=0"
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eval $web_service_cpp_cmd
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sleep 2s
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_save_log_path="${LOG_PATH}/server_infer_cpp_cpu_pipeline_usemkldnn_False_threads_4_batchsize_1.log"
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pipeline_cmd="${python_list[0]} ocr_cpp_client.py ppocr_det_mobile_2.0_client/ ppocr_rec_mobile_2.0_client/"
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eval $pipeline_cmd
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last_status=${PIPESTATUS[0]}
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status_check $last_status "${pipeline_cmd}" "${status_log}"
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sleep 2s
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ps ux | grep -E 'web_service|pipeline' | awk '{print $2}' | xargs kill -s 9
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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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for use_gpu in ${web_use_gpu_list[*]}; do
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if [ ${use_gpu} = "null" ]; then
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for use_mkldnn in ${web_use_mkldnn_list[*]}; do
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for threads in ${web_cpu_threads_list[*]}; do
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set_cpu_threads=$(func_set_params "${web_cpu_threads_key}" "${threads}")
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web_service_cmd="${python} ${web_service_py} ${web_use_gpu_key}="" ${web_use_mkldnn_key}=${use_mkldnn} ${set_cpu_threads} &"
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eval $web_service_cmd
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last_status=${PIPESTATUS[0]}
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status_check $last_status "${web_service_cmd}" "${status_log}"
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sleep 2s
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for pipeline in ${pipeline_py[*]}; do
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_save_log_path="${LOG_PATH}/server_infer_cpu_${pipeline%_client*}_usemkldnn_${use_mkldnn}_threads_${threads}_batchsize_1.log"
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pipeline_cmd="${python} ${pipeline} ${set_image_dir} > ${_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}"
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sleep 2s
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done
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ps ux | grep -E 'web_service|pipeline' | awk '{print $2}' | xargs kill -s 9
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done
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done
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elif [ ${use_gpu} = "0" ]; then
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for use_trt in ${web_use_trt_list[*]}; do
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for precision in ${web_precision_list[*]}; do
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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" ]] && [[ ${_flag_quant} = "True" ]]; then
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continue
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fi
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set_tensorrt=$(func_set_params "${web_use_trt_key}" "${use_trt}")
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if [ ${use_trt} = True ]; then
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device_type=2
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fi
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set_precision=$(func_set_params "${web_precision_key}" "${precision}")
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web_service_cmd="${python} ${web_service_py} ${web_use_gpu_key}=${use_gpu} ${set_tensorrt} ${set_precision} & "
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eval $web_service_cmd
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last_status=${PIPESTATUS[0]}
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status_check $last_status "${web_service_cmd}" "${status_log}"
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sleep 2s
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for pipeline in ${pipeline_py[*]}; do
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_save_log_path="${LOG_PATH}/server_infer_gpu_${pipeline%_client*}_usetrt_${use_trt}_precision_${precision}_batchsize_1.log"
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pipeline_cmd="${python} ${pipeline} ${set_image_dir}> ${_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}"
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sleep 2s
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done
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ps ux | grep -E 'web_service|pipeline' | awk '{print $2}' | xargs kill -s 9
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done
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done
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else
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echo "Does not support hardware 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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done
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}
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#set cuda device
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GPUID=$2
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if [ ${#GPUID} -le 0 ];then
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env="export CUDA_VISIBLE_DEVICES=0"
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else
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env="export CUDA_VISIBLE_DEVICES=${GPUID}"
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fi
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eval $env
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echo $env
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echo "################### run test ###################"
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export Count=0
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IFS="|"
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func_serving "${web_service_cmd}"
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