#!/bin/bash echo "################################################################" echo "# #" echo "# #" echo "# #" echo "# Paddle Serving begin run with python3.6.8! #" echo "# #" echo "# #" echo "# #" echo "################################################################" export GOPATH=$HOME/go export PATH=$PATH:$GOROOT/bin:$GOPATH/bin export CUDA_INCLUDE_DIRS=/usr/local/cuda-10.2/include export PYTHONROOT=/usr/local export PYTHONIOENCODING=utf-8 build_path=/workspace/Serving/ error_words="Fail|DENIED|UNKNOWN|None" log_dir=${build_path}logs/ data=/root/.cache/serving_data/ dir=`pwd` RED_COLOR='\E[1;31m' GREEN_COLOR='\E[1;32m' YELOW_COLOR='\E[1;33m' RES='\E[0m' cuda_version=`cat /usr/local/cuda/version.txt` if [ $? -ne 0 ]; then cuda_version=11 fi go env -w GO111MODULE=on go env -w GOPROXY=https://goproxy.cn,direct go get -u github.com/grpc-ecosystem/grpc-gateway/protoc-gen-grpc-gateway@v1.15.2 go get -u github.com/grpc-ecosystem/grpc-gateway/protoc-gen-swagger@v1.15.2 go get -u github.com/golang/protobuf/protoc-gen-go@v1.4.3 go get -u google.golang.org/grpc@v1.33.0 build_whl_list=(build_gpu_server build_client build_app) rpc_model_list=(grpc_fit_a_line grpc_yolov4 pipeline_imagenet bert_rpc_gpu bert_rpc_cpu ResNet50_rpc \ lac_rpc cnn_rpc bow_rpc lstm_rpc fit_a_line_rpc deeplabv3_rpc mobilenet_rpc unet_rpc resnetv2_rpc \ criteo_ctr_rpc_cpu criteo_ctr_rpc_gpu ocr_rpc yolov4_rpc_gpu faster_rcnn_hrnetv2p_w18_1x_encrypt) http_model_list=(fit_a_line_http lac_http cnn_http bow_http lstm_http ResNet50_http bert_http\ pipeline_ocr_cpu_http) function setproxy() { export http_proxy=${proxy} export https_proxy=${proxy} } function unsetproxy() { unset http_proxy unset https_proxy } function kill_server_process() { kill `ps -ef | grep serving | awk '{print $2}'` > /dev/null 2>&1 kill `ps -ef | grep python | awk '{print $2}'` > /dev/null 2>&1 echo -e "${GREEN_COLOR}process killed...${RES}" } function check() { cd ${build_path} if [ ! -f paddle_serving_app* ]; then echo "paddle_serving_app is compiled failed, please check your pull request" exit 1 elif [ ! -f paddle_serving_server_* ]; then echo "paddle_serving_server_gpu is compiled failed, please check your pull request" exit 1 elif [ ! -f paddle_serving_client* ]; then echo "paddle_serving_server_client is compiled failed, please check your pull request" exit 1 else echo "paddle serving build passed" fi } function check_result() { if [ $? == 0 ]; then echo -e "${GREEN_COLOR}$1 execute normally${RES}" if [ $1 == "server" ]; then sleep $2 tail ${dir}server_log.txt | tee -a ${log_dir}server_total.txt fi if [ $1 == "client" ]; then tail ${dir}client_log.txt | tee -a ${log_dir}client_total.txt grep -E "${error_words}" ${dir}client_log.txt > /dev/null if [ $? == 0 ]; then echo -e "${RED_COLOR}$1 error command${RES}\n" | tee -a ${log_dir}server_total.txt ${log_dir}client_total.txt error_log $2 else echo -e "${GREEN_COLOR}$2${RES}\n" | tee -a ${log_dir}server_total.txt ${log_dir}client_total.txt fi fi else echo -e "${RED_COLOR}$1 error command${RES}\n" | tee -a ${log_dir}server_total.txt ${log_dir}client_total.txt tail ${dir}client_log.txt | tee -a ${log_dir}client_total.txt error_log $2 fi } function error_log() { arg=${1//\//_} echo "-----------------------------" | tee -a ${log_dir}error_models.txt arg=${arg%% *} arr=(${arg//_/ }) if [ ${arr[@]: -1} == 1 -o ${arr[@]: -1} == 2 ]; then model=${arr[*]:0:${#arr[*]}-3} deployment=${arr[*]: -3} else model=${arr[*]:0:${#arr[*]}-2} deployment=${arr[*]: -2} fi echo "model: ${model// /_}" | tee -a ${log_dir}error_models.txt echo "deployment: ${deployment// /_}" | tee -a ${log_dir}error_models.txt echo "py_version: python3.6" | tee -a ${log_dir}error_models.txt echo "cuda_version: ${cuda_version}" | tee -a ${log_dir}error_models.txt echo "status: Failed" | tee -a ${log_dir}error_models.txt echo -e "-----------------------------\n\n" | tee -a ${log_dir}error_models.txt prefix=${arg//\//_} for file in ${dir}* do cp ${file} ${log_dir}error/${prefix}_${file##*/} done } function check_dir() { if [ ! -d "$1" ] then mkdir -p $1 fi } function link_data() { for file in $1* do if [ ! -h ${file##*/} ] then ln -s ${file} ./${file##*/} fi done } function before_hook() { setproxy unsetproxy cd ${build_path}/python python3.6 -m pip install --upgrade pip python3.6 -m pip install requests python3.6 -m pip install -r requirements.txt -i https://mirror.baidu.com/pypi/simple python3.6 -m pip install numpy==1.16.4 python3.6 -m pip install paddlehub -i https://mirror.baidu.com/pypi/simple echo "before hook configuration is successful.... " } function run_env() { setproxy python3.6 -m pip install --upgrade nltk==3.4 python3.6 -m pip install --upgrade scipy==1.2.1 python3.6 -m pip install --upgrade setuptools==41.0.0 python3.6 -m pip install paddlehub ujson paddlepaddle==2.0.0 echo "run env configuration is successful.... " } function run_gpu_env() { cd ${build_path} export LD_LIBRARY_PATH=/usr/local/lib64/python3.6/site-packages/paddle/libs/:$LD_LIBRARY_PATH export LD_LIBRARY_PATH=/workspace/Serving/build_gpu/third_party/install/Paddle/lib/:/workspace/Serving/build_gpu/third_party/Paddle/src/extern_paddle/third_party/install/mklml/lib/:/workspace/Serving/build_gpu/third_party/Paddle/src/extern_paddle/third_party/install/mkldnn/lib/:$LD_LIBRARY_PATH export SERVING_BIN=${build_path}/build_gpu/core/general-server/serving echo "run gpu env configuration is successful.... " } function build_gpu_server() { setproxy cd ${build_path} git submodule update --init --recursive if [ -d build_gpu ];then rm -rf build_gpu fi if [ -d build ];then rm -rf build fi mkdir build && cd build cmake -DPYTHON_INCLUDE_DIR=$PYTHONROOT/include/python3.6m/ \ -DPYTHON_LIBRARIES=$PYTHONROOT/lib64/libpython3.6.so \ -DPYTHON_EXECUTABLE=$PYTHONROOT/bin/python3.6 \ -DSERVER=ON \ -DTENSORRT_ROOT=/usr \ -DWITH_GPU=ON .. make -j18 make -j18 make install -j18 python3.6 -m pip uninstall paddle-serving-server-gpu -y python3.6 -m pip install ${build_path}/build/python/dist/* cp ${build_path}/build/python/dist/* ../ cp -r ${build_path}/build/ ${build_path}/build_gpu } function build_client() { setproxy cd ${build_path} if [ -d build ];then rm -rf build fi mkdir build && cd build cmake -DPYTHON_INCLUDE_DIR=$PYTHONROOT/include/python3.6m/ \ -DPYTHON_LIBRARIES=$PYTHONROOT/lib64/libpython3.6.so \ -DPYTHON_EXECUTABLE=$PYTHONROOT/bin/python3.6 \ -DCLIENT=ON .. make -j18 make -j18 cp ${build_path}/build/python/dist/* ../ python3.6 -m pip uninstall paddle-serving-client -y python3.6 -m pip install ${build_path}/build/python/dist/* } function build_app() { setproxy python3.6 -m pip install paddlehub ujson Pillow python3.6 -m pip install paddlepaddle==2.0.0 cd ${build_path} if [ -d build ];then rm -rf build fi mkdir build && cd build cmake -DPYTHON_INCLUDE_DIR=$PYTHONROOT/include/python3.6m/ \ -DPYTHON_LIBRARIES=$PYTHONROOT/lib/libpython3.6.so \ -DPYTHON_EXECUTABLE=$PYTHONROOT/bin/python3.6 \ -DCMAKE_INSTALL_PREFIX=./output -DAPP=ON .. make cp ${build_path}/build/python/dist/* ../ python3.6 -m pip uninstall paddle-serving-app -y python3.6 -m pip install ${build_path}/build/python/dist/* } function faster_rcnn_hrnetv2p_w18_1x_encrypt() { dir=${log_dir}rpc_model/faster_rcnn_hrnetv2p_w18_1x/ cd ${build_path}/python/examples/detection/faster_rcnn_hrnetv2p_w18_1x check_dir ${dir} data_dir=${data}detection/faster_rcnn_hrnetv2p_w18_1x/ link_data ${data_dir} python3.6 encrypt.py unsetproxy echo -e "${GREEN_COLOR}faster_rcnn_hrnetv2p_w18_1x_ENCRYPTION_GPU_RPC server started${RES}" | tee -a ${log_dir}server_total.txt python3.6 -m paddle_serving_server.serve --model encrypt_server/ --port 9494 --use_trt --gpu_ids 0 --use_encryption_model > ${dir}server_log.txt 2>&1 & check_result server 3 echo -e "${GREEN_COLOR}faster_rcnn_hrnetv2p_w18_1x_ENCRYPTION_GPU_RPC client started${RES}" | tee -a ${log_dir}client_total.txt python3.6 test_encryption.py 000000570688.jpg > ${dir}client_log.txt 2>&1 check_result client "faster_rcnn_hrnetv2p_w18_1x_ENCRYPTION_GPU_RPC server test completed" kill_server_process } function pipeline_ocr_cpu_http() { dir=${log_dir}rpc_model/pipeline_ocr_cpu_http/ check_dir ${dir} cd ${build_path}/python/examples/pipeline/ocr data_dir=${data}ocr/ link_data ${data_dir} unsetproxy echo -e "${GREEN_COLOR}pipeline_ocr_CPU_HTTP server started${RES}" | tee -a ${log_dir}server_total.txt $py_version web_service.py > ${dir}server_log.txt 2>&1 & check_result server 5 echo -e "${GREEN_COLOR}pipeline_ocr_CPU_HTTP client started${RES}" | tee -a ${log_dir}client_total.txt timeout 15s $py_version pipeline_http_client.py > ${dir}client_log.txt 2>&1 check_result client "pipeline_ocr_CPU_HTTP server test completed" kill_server_process } function bert_rpc_gpu() { dir=${log_dir}rpc_model/bert_rpc_gpu/ check_dir ${dir} run_gpu_env unsetproxy cd ${build_path}/python/examples/bert data_dir=${data}bert/ link_data ${data_dir} sh get_data.sh >/dev/null 2>&1 sed -i 's/9292/8860/g' bert_client.py sed -i '$aprint(result)' bert_client.py ls -hlst python3.6 -m paddle_serving_server.serve --model bert_seq128_model/ --port 8860 --gpu_ids 0 > ${dir}server_log.txt 2>&1 & check_result server 15 nvidia-smi head data-c.txt | python3.6 bert_client.py --model bert_seq128_client/serving_client_conf.prototxt > ${dir}client_log.txt 2>&1 check_result client "bert_GPU_RPC server test completed" nvidia-smi kill_server_process } function bert_rpc_cpu() { dir=${log_dir}rpc_model/bert_rpc_cpu/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/bert data_dir=${data}bert/ link_data ${data_dir} sed -i 's/8860/8861/g' bert_client.py python3.6 -m paddle_serving_server.serve --model bert_seq128_model/ --port 8861 > ${dir}server_log.txt 2>&1 & check_result server 3 cp data-c.txt.1 data-c.txt head data-c.txt | python3.6 bert_client.py --model bert_seq128_client/serving_client_conf.prototxt > ${dir}client_log.txt 2>&1 check_result client "bert_CPU_RPC server test completed" kill_server_process } function pipeline_imagenet() { dir=${log_dir}rpc_model/pipeline_imagenet/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/pipeline/imagenet data_dir=${data}imagenet/ link_data ${data_dir} python3.6 resnet50_web_service.py > ${dir}server_log.txt 2>&1 & check_result server 5 nvidia-smi python3.6 pipeline_rpc_client.py > ${dir}client_log.txt 2>&1 check_result client "pipeline_imagenet_GPU_RPC server test completed" nvidia-smi kill_server_process } function ResNet50_rpc() { dir=${log_dir}rpc_model/ResNet50_rpc/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/imagenet data_dir=${data}imagenet/ link_data ${data_dir} sed -i 's/9696/8863/g' resnet50_rpc_client.py python3.6 -m paddle_serving_server.serve --model ResNet50_vd_model --port 8863 --gpu_ids 0 > ${dir}server_log.txt 2>&1 & check_result server 5 nvidia-smi python3.6 resnet50_rpc_client.py ResNet50_vd_client_config/serving_client_conf.prototxt > ${dir}client_log.txt 2>&1 check_result client "ResNet50_GPU_RPC server test completed" nvidia-smi kill_server_process } function ResNet101_rpc() { dir=${log_dir}rpc_model/ResNet101_rpc/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/imagenet data_dir=${data}imagenet/ link_data ${data_dir} sed -i "22cclient.connect(['127.0.0.1:8864'])" image_rpc_client.py python3.6 -m paddle_serving_server.serve --model ResNet101_vd_model --port 8864 --gpu_ids 0 > ${dir}server_log.txt 2>&1 & check_result server 5 nvidia-smi python3.6 image_rpc_client.py ResNet101_vd_client_config/serving_client_conf.prototxt > ${dir}client_log.txt 2>&1 check_result client "ResNet101_GPU_RPC server test completed" nvidia-smi kill_server_process } function cnn_rpc() { dir=${log_dir}rpc_model/cnn_rpc/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/imdb data_dir=${data}imdb/ link_data ${data_dir} sed -i 's/9292/8865/g' test_client.py python3.6 -m paddle_serving_server.serve --model imdb_cnn_model/ --port 8865 > ${dir}server_log.txt 2>&1 & check_result server 5 head test_data/part-0 | python3.6 test_client.py imdb_cnn_client_conf/serving_client_conf.prototxt imdb.vocab > ${dir}client_log.txt 2>&1 check_result client "cnn_CPU_RPC server test completed" kill_server_process } function bow_rpc() { dir=${log_dir}rpc_model/bow_rpc/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/imdb data_dir=${data}imdb/ link_data ${data_dir} sed -i 's/8865/8866/g' test_client.py python3.6 -m paddle_serving_server.serve --model imdb_bow_model/ --port 8866 > ${dir}server_log.txt 2>&1 & check_result server 5 head test_data/part-0 | python3.6 test_client.py imdb_bow_client_conf/serving_client_conf.prototxt imdb.vocab > ${dir}client_log.txt 2>&1 check_result client "bow_CPU_RPC server test completed" kill_server_process } function lstm_rpc() { dir=${log_dir}rpc_model/lstm_rpc/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/imdb data_dir=${data}imdb/ link_data ${data_dir} sed -i 's/8866/8867/g' test_client.py python3.6 -m paddle_serving_server.serve --model imdb_lstm_model/ --port 8867 > ${dir}server_log.txt 2>&1 & check_result server 5 head test_data/part-0 | python3.6 test_client.py imdb_lstm_client_conf/serving_client_conf.prototxt imdb.vocab > ${dir}client_log.txt 2>&1 check_result client "lstm_CPU_RPC server test completed" kill_server_process } function lac_rpc() { dir=${log_dir}rpc_model/lac_rpc/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/lac data_dir=${data}lac/ link_data ${data_dir} sed -i 's/9292/8868/g' lac_client.py python3.6 -m paddle_serving_server.serve --model lac_model/ --port 8868 > ${dir}server_log.txt 2>&1 & check_result server 5 echo "我爱北京天安门" | python3.6 lac_client.py lac_client/serving_client_conf.prototxt lac_dict/ > ${dir}client_log.txt 2>&1 check_result client "lac_CPU_RPC server test completed" kill_server_process } function fit_a_line_rpc() { dir=${log_dir}rpc_model/fit_a_line_rpc/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/fit_a_line data_dir=${data}fit_a_line/ link_data ${data_dir} sed -i 's/9393/8869/g' test_client.py python3.6 -m paddle_serving_server.serve --model uci_housing_model --port 8869 > ${dir}server_log.txt 2>&1 & check_result server 5 python3.6 test_client.py uci_housing_client/serving_client_conf.prototxt > ${dir}client_log.txt 2>&1 check_result client "fit_a_line_CPU_RPC server test completed" kill_server_process } function faster_rcnn_model_rpc() { dir=${log_dir}rpc_model/faster_rcnn_rpc/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/detection/faster_rcnn_r50_fpn_1x_coco data_dir=${data}detection/faster_rcnn_r50_fpn_1x_coco/ link_data ${data_dir} sed -i 's/9494/8870/g' test_client.py python3.6 -m paddle_serving_server.serve --model serving_server --port 8870 --gpu_ids 0 --thread 2 --use_trt > ${dir}server_log.txt 2>&1 & echo "faster rcnn running ..." nvidia-smi check_result server 10 python3.6 test_client.py 000000570688.jpg > ${dir}client_log.txt 2>&1 nvidia-smi check_result client "faster_rcnn_GPU_RPC server test completed" kill_server_process } function cascade_rcnn_rpc() { dir=${log_dir}rpc_model/cascade_rcnn_rpc/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/cascade_rcnn data_dir=${data}cascade_rcnn/ link_data ${data_dir} sed -i "s/9292/8879/g" test_client.py python3.6 -m paddle_serving_server.serve --model serving_server --port 8879 --gpu_ids 0 --thread 2 > ${dir}server_log.txt 2>&1 & check_result server 5 nvidia-smi python3.6 test_client.py > ${dir}client_log.txt 2>&1 nvidia-smi check_result client "cascade_rcnn_GPU_RPC server test completed" kill_server_process } function deeplabv3_rpc() { dir=${log_dir}rpc_model/deeplabv3_rpc/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/deeplabv3 data_dir=${data}deeplabv3/ link_data ${data_dir} sed -i "s/9494/8880/g" deeplabv3_client.py python3.6 -m paddle_serving_server.serve --model deeplabv3_server --gpu_ids 0 --port 8880 --thread 2 > ${dir}server_log.txt 2>&1 & check_result server 5 nvidia-smi python3.6 deeplabv3_client.py > ${dir}client_log.txt 2>&1 nvidia-smi check_result client "deeplabv3_GPU_RPC server test completed" kill_server_process } function mobilenet_rpc() { dir=${log_dir}rpc_model/mobilenet_rpc/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/mobilenet python3.6 -m paddle_serving_app.package --get_model mobilenet_v2_imagenet >/dev/null 2>&1 tar xf mobilenet_v2_imagenet.tar.gz sed -i "s/9393/8881/g" mobilenet_tutorial.py python3.6 -m paddle_serving_server.serve --model mobilenet_v2_imagenet_model --gpu_ids 0 --port 8881 > ${dir}server_log.txt 2>&1 & check_result server 5 nvidia-smi python3.6 mobilenet_tutorial.py > ${dir}client_log.txt 2>&1 nvidia-smi check_result client "mobilenet_GPU_RPC server test completed" kill_server_process } function unet_rpc() { dir=${log_dir}rpc_model/unet_rpc/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/unet_for_image_seg data_dir=${data}unet_for_image_seg/ link_data ${data_dir} sed -i "s/9494/8882/g" seg_client.py python3.6 -m paddle_serving_server.serve --model unet_model --gpu_ids 0 --port 8882 > ${dir}server_log.txt 2>&1 & check_result server 5 nvidia-smi python3.6 seg_client.py > ${dir}client_log.txt 2>&1 nvidia-smi check_result client "unet_GPU_RPC server test completed" kill_server_process } function resnetv2_rpc() { dir=${log_dir}rpc_model/resnetv2_rpc/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/resnet_v2_50 data_dir=${data}resnet_v2_50/ link_data ${data_dir} sed -i 's/9393/8883/g' resnet50_v2_tutorial.py python3.6 -m paddle_serving_server.serve --model resnet_v2_50_imagenet_model --gpu_ids 0 --port 8883 > ${dir}server_log.txt 2>&1 & check_result server 10 nvidia-smi python3.6 resnet50_v2_tutorial.py > ${dir}client_log.txt 2>&1 nvidia-smi check_result client "resnetv2_GPU_RPC server test completed" kill_server_process } function ocr_rpc() { dir=${log_dir}rpc_model/ocr_rpc/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/ocr data_dir=${data}ocr/ link_data ${data_dir} python3.6 -m paddle_serving_app.package --get_model ocr_rec >/dev/null 2>&1 tar xf ocr_rec.tar.gz sed -i 's/9292/8884/g' test_ocr_rec_client.py python3.6 -m paddle_serving_server.serve --model ocr_rec_model --port 8884 > ${dir}server_log.txt 2>&1 & check_result server 5 python3.6 test_ocr_rec_client.py > ${dir}client_log.txt 2>&1 check_result client "ocr_CPU_RPC server test completed" kill_server_process } function criteo_ctr_rpc_cpu() { dir=${log_dir}rpc_model/criteo_ctr_rpc_cpu/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/criteo_ctr data_dir=${data}criteo_ctr/ link_data ${data_dir} sed -i "s/9292/8885/g" test_client.py python3.6 -m paddle_serving_server.serve --model ctr_serving_model/ --port 8885 > ${dir}server_log.txt 2>&1 & check_result server 5 python3.6 test_client.py ctr_client_conf/serving_client_conf.prototxt raw_data/part-0 > ${dir}client_log.txt 2>&1 check_result client "criteo_ctr_CPU_RPC server test completed" kill_server_process } function criteo_ctr_rpc_gpu() { dir=${log_dir}rpc_model/criteo_ctr_rpc_gpu/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/criteo_ctr data_dir=${data}criteo_ctr/ link_data ${data_dir} sed -i "s/8885/8886/g" test_client.py python3.6 -m paddle_serving_server.serve --model ctr_serving_model/ --port 8886 --gpu_ids 0 > ${dir}server_log.txt 2>&1 & check_result server 5 nvidia-smi python3.6 test_client.py ctr_client_conf/serving_client_conf.prototxt raw_data/part-0 > ${dir}client_log.txt 2>&1 nvidia-smi check_result client "criteo_ctr_GPU_RPC server test completed" kill_server_process } function yolov4_rpc_gpu() { dir=${log_dir}rpc_model/yolov4_rpc_gpu/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/yolov4 data_dir=${data}yolov4/ link_data ${data_dir} sed -i "s/9393/8887/g" test_client.py python3.6 -m paddle_serving_server.serve --model yolov4_model --port 8887 --gpu_ids 0 > ${dir}server_log.txt 2>&1 & nvidia-smi check_result server 5 python3.6 test_client.py 000000570688.jpg > ${dir}client_log.txt 2>&1 nvidia-smi check_result client "yolov4_GPU_RPC server test completed" kill_server_process } function senta_rpc_cpu() { dir=${log_dir}rpc_model/senta_rpc_cpu/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/senta data_dir=${data}senta/ link_data ${data_dir} sed -i "s/9393/8887/g" test_client.py python3.6 -m paddle_serving_server.serve --model yolov4_model --port 8887 --gpu_ids 0 > ${dir}server_log.txt 2>&1 & nvidia-smi check_result server 5 python3.6 test_client.py 000000570688.jpg > ${dir}client_log.txt 2>&1 nvidia-smi check_result client "senta_GPU_RPC server test completed" kill_server_process } function fit_a_line_http() { dir=${log_dir}http_model/fit_a_line_http/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/fit_a_line sed -i "s/9393/8871/g" test_server.py python3.6 test_server.py > ${dir}server_log.txt 2>&1 & check_result server 10 curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"x": [0.0137, -0.1136, 0.2553, -0.0692, 0.0582, -0.0727, -0.1583, -0.0584, 0.6283, 0.4919, 0.1856, 0.0795, -0.0332]}], "fetch":["price"]}' http://127.0.0.1:8871/uci/prediction > ${dir}client_log.txt 2>&1 check_result client "fit_a_line_CPU_HTTP server test completed" kill_server_process } function lac_http() { dir=${log_dir}http_model/lac_http/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/lac python3.6 lac_web_service.py lac_model/ lac_workdir 8872 > ${dir}server_log.txt 2>&1 & check_result server 10 curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "我爱北京天安门"}], "fetch":["word_seg"]}' http://127.0.0.1:8872/lac/prediction > ${dir}client_log.txt 2>&1 check_result client "lac_CPU_HTTP server test completed" kill_server_process } function cnn_http() { dir=${log_dir}http_model/cnn_http/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/imdb python3.6 text_classify_service.py imdb_cnn_model/ workdir/ 8873 imdb.vocab > ${dir}server_log.txt 2>&1 & check_result server 10 curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "i am very sad | 0"}], "fetch":["prediction"]}' http://127.0.0.1:8873/imdb/prediction > ${dir}client_log.txt 2>&1 check_result client "cnn_CPU_HTTP server test completed" kill_server_process } function bow_http() { dir=${log_dir}http_model/bow_http/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/imdb python3.6 text_classify_service.py imdb_bow_model/ workdir/ 8874 imdb.vocab > ${dir}server_log.txt 2>&1 & check_result server 10 curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "i am very sad | 0"}], "fetch":["prediction"]}' http://127.0.0.1:8874/imdb/prediction > ${dir}client_log.txt 2>&1 check_result client "bow_CPU_HTTP server test completed" kill_server_process } function lstm_http() { dir=${log_dir}http_model/lstm_http/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/imdb python3.6 text_classify_service.py imdb_bow_model/ workdir/ 8875 imdb.vocab > ${dir}server_log.txt 2>&1 & check_result server 10 curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "i am very sad | 0"}], "fetch":["prediction"]}' http://127.0.0.1:8875/imdb/prediction > ${dir}client_log.txt 2>&1 check_result client "lstm_CPU_HTTP server test completed" kill_server_process } function ResNet50_http() { dir=${log_dir}http_model/ResNet50_http/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/imagenet python3.6 resnet50_web_service.py ResNet50_vd_model gpu 8876 > ${dir}server_log.txt 2>&1 & check_result server 10 curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"image": "https://paddle-serving.bj.bcebos.com/imagenet-example/daisy.jpg"}], "fetch": ["score"]}' http://127.0.0.1:8876/image/prediction > ${dir}client_log.txt 2>&1 check_result client "ResNet50_GPU_HTTP server test completed" kill_server_process } function bert_http() { dir=${log_dir}http_model/ResNet50_http/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/bert cp data-c.txt.1 data-c.txt cp vocab.txt.1 vocab.txt export CUDA_VISIBLE_DEVICES=0 python3.6 bert_web_service.py bert_seq128_model/ 8878 > ${dir}server_log.txt 2>&1 & check_result server 5 curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "hello"}], "fetch":["pooled_output"]}' http://127.0.0.1:8878/bert/prediction > ${dir}client_log.txt 2>&1 check_result client "bert_GPU_HTTP server test completed" kill_server_process } function grpc_fit_a_line() { dir=${log_dir}rpc_model/grpc_fit_a_line/ check_dir ${dir} unsetproxy cd ${build_path}/python/examples/grpc_impl_example/fit_a_line data_dir=${data}fit_a_line/ link_data ${data_dir} python3.6 test_server.py uci_housing_model/ > ${dir}server_log.txt 2>&1 & check_result server 5 echo "sync predict" > ${dir}client_log.txt 2>&1 python3.6 test_sync_client.py >> ${dir}client_log.txt 2>&1 check_result client "grpc_impl_example_fit_a_line_sync_CPU_gRPC server sync test completed" echo "async predict" >> ${dir}client_log.txt 2>&1 python3.6 test_asyn_client.py >> ${dir}client_log.txt 2>&1 check_result client "grpc_impl_example_fit_a_line_asyn_CPU_gRPC server asyn test completed" echo "batch predict" >> ${dir}client_log.txt 2>&1 python3.6 test_batch_client.py >> ${dir}client_log.txt 2>&1 check_result client "grpc_impl_example_fit_a_line_batch_CPU_gRPC server batch test completed" echo "timeout predict" >> ${dir}client_log.txt 2>&1 python3.6 test_timeout_client.py >> ${dir}client_log.txt 2>&1 check_result client "grpc_impl_example_fit_a_line_timeout_CPU_gRPC server timeout test completed" kill_server_process } function grpc_yolov4() { dir=${log_dir}rpc_model/grpc_yolov4/ cd ${build_path}/python/examples/grpc_impl_example/yolov4 check_dir ${dir} data_dir=${data}yolov4/ link_data ${data_dir} echo -e "${GREEN_COLOR}grpc_impl_example_yolov4_GPU_gRPC server started${RES}" python3.6 -m paddle_serving_server.serve --model yolov4_model --port 9393 --gpu_ids 0 --use_multilang > ${dir}server_log.txt 2>&1 & check_result server 5 echo -e "${GREEN_COLOR}grpc_impl_example_yolov4_GPU_gRPC client started${RES}" python3.6 test_client.py 000000570688.jpg > ${dir}client_log.txt 2>&1 check_result client "grpc_yolov4_GPU_GRPC server test completed" kill_server_process } function build_all_whl() { for whl in ${build_whl_list[@]} do echo "===========${whl} begin build===========" $whl sleep 3 echo "===========${whl} build over ===========" done } function run_rpc_models() { for model in ${rpc_model_list[@]} do echo "===========${model} run begin===========" $model sleep 3 echo "===========${model} run end ===========" done } function run_http_models() { for model in ${http_model_list[@]} do echo "===========${model} run begin===========" $model sleep 3 echo "===========${model} run end ===========" done } function end_hook() { cd ${build_path} kill_server_process kill `ps -ef|grep python|awk '{print $2}'` sleep 5 echo "===========files===========" ls -hlst echo "=========== end ===========" } function main() { before_hook build_all_whl check run_env unsetproxy run_gpu_env check_dir ${log_dir}rpc_model/ check_dir ${log_dir}http_model/ check_dir ${log_dir}error/ run_rpc_models run_http_models end_hook if [ -f ${log_dir}error_models.txt ]; then cat ${log_dir}error_models.txt echo "error occurred!" # exit 1 fi } main$@