Merge branch 'develop' into infer

README.md

@@ -85,14 +85,14 @@ We **highly recommend** you to **run Paddle Serving in Docker**, please visit [R
 ```
 # Run CPU Docker
 docker pull registry.baidubce.com/paddlepaddle/serving:0.5.0-devel
-docker run -p 9292:9292 --name test -dit registry.baidubce.com/paddlepaddle/serving:0.5.0-devel
+docker run -p 9292:9292 --name test -dit registry.baidubce.com/paddlepaddle/serving:0.5.0-devel bash
 docker exec -it test bash
 git clone https://github.com/PaddlePaddle/Serving
 ```
 ```
 # Run GPU Docker
 nvidia-docker pull registry.baidubce.com/paddlepaddle/serving:0.5.0-cuda10.2-cudnn8-devel
-nvidia-docker run -p 9292:9292 --name test -dit registry.baidubce.com/paddlepaddle/serving:0.5.0-cuda10.2-cudnn8-devel
+nvidia-docker run -p 9292:9292 --name test -dit registry.baidubce.com/paddlepaddle/serving:0.5.0-cuda10.2-cudnn8-devel bash
 nvidia-docker exec -it test bash
 git clone https://github.com/PaddlePaddle/Serving
 ```

README_CN.md

@@ -86,14 +86,14 @@ Paddle Serving开发者为您提供了简单易用的[AIStudio教程-Paddle Serv
 ```
 # 启动 CPU Docker
 docker pull registry.baidubce.com/paddlepaddle/serving:0.5.0-devel
-docker run -p 9292:9292 --name test -dit registry.baidubce.com/paddlepaddle/serving:0.5.0-devel
+docker run -p 9292:9292 --name test -dit registry.baidubce.com/paddlepaddle/serving:0.5.0-devel bash
 docker exec -it test bash
 git clone https://github.com/PaddlePaddle/Serving
 ```
 ```
 # 启动 GPU Docker
 nvidia-docker pull registry.baidubce.com/paddlepaddle/serving:0.5.0-cuda10.2-cudnn8-devel
-nvidia-docker run -p 9292:9292 --name test -dit registry.baidubce.com/paddlepaddle/serving:0.5.0-cuda10.2-cudnn8-devel
+nvidia-docker run -p 9292:9292 --name test -dit registry.baidubce.com/paddlepaddle/serving:0.5.0-cuda10.2-cudnn8-devel bash
 nvidia-docker exec -it test bash
 git clone https://github.com/PaddlePaddle/Serving
 ```

tools/scripts/ipipe_py2.sh

+#!/bin/bash
+echo "################################################################"
+echo "#                                                              #"
+echo "#                                                              #"
+echo "#                                                              #"
+echo "#          Paddle Serving  begin run with python2.7.15!!        #"
+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/python2.7.15/
+
+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_path=/workspace/Serving
+build_whl_list=(build_gpu_server build_client build_cpu_server build_app)
+rpc_model_list=(grpc_impl pipeline_imagenet bert_rpc_gpu bert_rpc_cpu faster_rcnn_model_rpc ResNet50_rpc lac_rpc \
+cnn_rpc bow_rpc lstm_rpc fit_a_line_rpc cascade_rcnn_rpc deeplabv3_rpc mobilenet_rpc unet_rpc resnetv2_rpc \
+ocr_rpc criteo_ctr_rpc_cpu criteo_ctr_rpc_gpu yolov4_rpc_gpu)
+http_model_list=(fit_a_line_http lac_http cnn_http bow_http lstm_http ResNet50_http bert_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}'`
+}
+
+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-cpu 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 [ $? -ne 0 ];then
+      echo -e "\033[4;31;42m$1 model runs failed, please check your pull request or modify test case! \033[0m"
+      exit 1
+    else
+      echo -e "\033[4;37;42m$1 model runs successfully, congratulations! \033[0m"
+    fi
+}
+
+function before_hook(){
+  setproxy
+  cd ${build_path}/python
+  pip2.7 install --upgrade pip
+  pip2.7 install opencv-python==4.2.0.32 requests
+  pip2.7 install -r requirements.txt
+  echo "before hook configuration is successful.... "
+}
+
+function run_env(){
+  setproxy
+  pip2.7 install --upgrade nltk==3.4
+  pip2.7 install --upgrade scipy==1.2.1
+  pip2.7 install --upgrade setuptools
+  pip2.7 install paddlehub ujson paddlepaddle==2.0.0
+  echo "run env configuration is successful.... "
+}
+
+function run_gpu_env(){
+  cd ${build_path}
+  export LD_LIBRARY_PATH=/usr/local/python2.7.15/lib/python2.7/site-packages/paddle/libs/:$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 run_cpu_env(){
+  cd ${build_path}
+  export LD_LIBRARY_PATH=/usr/local/python2.7.15/lib/python2.7/site-packages/paddle/libs/:$LD_LIBRARY_PATH
+  export LD_LIBRARY_PATH=/workspace/Serving/build_cpu/third_party/install/Paddle/lib/:$LD_LIBRARY_PATH
+  export SERVING_BIN=${build_path}/build_cpu/core/general-server/serving
+  echo "run cpu 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/python2.7/ \
+          -DPYTHON_LIBRARIES=$PYTHONROOT/lib64/libpython2.7.so \
+          -DPYTHON_EXECUTABLE=$PYTHONROOT/bin/python \
+          -DSERVER=ON \
+          -DTENSORRT_ROOT=/usr \
+          -DWITH_GPU=ON ..
+    make -j18
+    make -j18
+    make install -j18
+    pip2.7 uninstall paddle-serving-server-gpu -y
+    pip2.7 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/python2.7/ \
+           -DPYTHON_LIBRARIES=$PYTHONROOT/lib64/libpython2.7.so \
+           -DPYTHON_EXECUTABLE=$PYTHONROOT/bin/python \
+           -DCLIENT=ON ..
+     make -j18
+     make -j18
+     cp ${build_path}/build/python/dist/* ../
+     pip2.7 uninstall paddle-serving-client -y
+     pip2.7 install ${build_path}/build/python/dist/*
+}
+
+function build_cpu_server(){
+      setproxy
+      cd ${build_path}
+      if [ -d build_cpu ];then
+         rm -rf build_cpu
+      fi
+      if [ -d build ];then
+          rm -rf build
+      fi
+      mkdir build && cd build
+      pwd
+      cmake -DPYTHON_INCLUDE_DIR=$PYTHONROOT/include/python2.7/ \
+            -DPYTHON_LIBRARIES=$PYTHONROOT/lib64/libpython2.7.so \
+            -DPYTHON_EXECUTABLE=$PYTHONROOT/bin/python \
+            -DWITH_GPU=OFF \
+            -DSERVER=ON ..
+      make -j18
+      make -j18
+      make install -j18
+      cp ${build_path}/build/python/dist/* ../
+      pip2.7 uninstall paddle-serving-server -y
+      pip2.7 install ${build_path}/build/python/dist/*
+      cp -r ${build_path}/build/ ${build_path}/build_cpu
+}
+
+function build_app() {
+  setproxy
+  cd ${build_path}
+  if [ -d build ];then
+      rm -rf build
+  fi
+  mkdir build && cd build
+  cmake -DPYTHON_INCLUDE_DIR=$PYTHONROOT/include/python2.7/ \
+        -DPYTHON_LIBRARIES=$PYTHONROOT/lib/libpython2.7.so \
+        -DPYTHON_EXECUTABLE=$PYTHONROOT/bin/python \
+        -DCMAKE_INSTALL_PREFIX=./output -DAPP=ON ..
+  make
+  cp ${build_path}/build/python/dist/* ../
+  pip2.7 uninstall paddle-serving-app -y
+  pip2.7 install ${build_path}/build/python/dist/*
+}
+
+function bert_rpc_gpu(){
+  run_gpu_env
+  setproxy
+  cd ${build_path}/python/examples/bert
+  sh get_data.sh >/dev/null 2>&1
+  sed -i 's/9292/8860/g' bert_client.py
+  sed -i '$aprint(result)' bert_client.py
+  cp -r /root/.cache/dist_data/serving/bert/bert_seq128_* ./
+  ls -hlst
+  python2.7 -m paddle_serving_server_gpu.serve --model bert_seq128_model/ --port 8860 --gpu_ids 0 > bert_rpc_gpu 2>&1 &
+  sleep 15
+  head data-c.txt | python2.7 bert_client.py --model bert_seq128_client/serving_client_conf.prototxt
+  cat bert_rpc_gpu
+  check_result $FUNCNAME
+  kill_server_process
+}
+
+function bert_rpc_cpu(){
+  run_cpu_env
+  setproxy
+  cd ${build_path}/python/examples/bert
+  sed -i 's/8860/8861/g' bert_client.py
+  python2.7 -m paddle_serving_server.serve --model bert_seq128_model/ --port 8861 > bert_rpc_cpu 2>&1 &
+  sleep 3
+  cp data-c.txt.1 data-c.txt
+  head data-c.txt | python2.7 bert_client.py --model bert_seq128_client/serving_client_conf.prototxt
+  cat bert_rpc_cpu
+  check_result $FUNCNAME
+  kill_server_process
+}
+
+function criteo_ctr_with_cube_rpc(){
+  setproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/criteo_ctr_with_cube
+  ln -s /root/.cache/dist_data/serving/criteo_ctr_with_cube/raw_data ./
+  sed -i "s/9292/8888/g" test_server.py
+  sed -i "s/9292/8888/g" test_client.py
+  wget https://paddle-serving.bj.bcebos.com/unittest/ctr_cube_unittest.tar.gz >/dev/null 2>&1
+  tar xf ctr_cube_unittest.tar.gz
+  mv models/ctr_client_conf ./
+  mv models/ctr_serving_model_kv ./
+  mv models/data ./cube/
+  wget https://paddle-serving.bj.bcebos.com/others/cube_app.tar.gz >/dev/null 2>&1
+  tar xf cube_app.tar.gz
+  mv cube_app/cube* ./cube/
+  sh cube_prepare.sh > haha 2>&1 &
+  sleep 5
+  python2.7 test_server.py ctr_serving_model_kv > criteo_ctr_rpc 2>&1 &
+  sleep 5
+  python2.7 test_client.py ctr_client_conf/serving_client_conf.prototxt ./raw_data
+  cat criteo_ctr_rpc
+  check_result $FUNCNAME
+  kill `ps -ef|grep cube|awk '{print $2}'`
+  kill_server_process
+}
+
+function pipeline_imagenet(){
+  run_gpu_env
+  setproxy
+  cd ${build_path}/python/examples/pipeline/imagenet
+  cp -r /root/.cache/dist_data/serving/imagenet/* ./
+  ls -a
+  python2.7 resnet50_web_service.py > pipelog 2>&1 &
+  sleep 5
+  python2.7 pipeline_rpc_client.py
+  # check_result $FUNCNAME
+  kill_server_process
+}
+
+function ResNet50_rpc(){
+  run_gpu_env
+  setproxy
+  cd ${build_path}/python/examples/imagenet
+  cp -r /root/.cache/dist_data/serving/imagenet/* ./
+  sed -i 's/9696/8863/g' resnet50_rpc_client.py
+  python2.7 -m paddle_serving_server_gpu.serve --model ResNet50_vd_model --port 8863 --gpu_ids 0 > ResNet50_rpc 2>&1 &
+  sleep 5
+  python2.7 resnet50_rpc_client.py ResNet50_vd_client_config/serving_client_conf.prototxt
+  tail ResNet50_rpc
+  check_result $FUNCNAME
+  kill_server_process
+  sleep 5
+}
+
+function ResNet101_rpc(){
+  run_gpu_env
+  setproxy
+  cd ${build_path}/python/examples/imagenet
+  sed -i 's/9292/8864/g' image_rpc_client.py
+  python2.7 -m paddle_serving_server_gpu.serve --model ResNet101_vd_model --port 8864 --gpu_ids 0 > ResNet101_rpc 2>&1 &
+  sleep 5
+  python2.7 image_rpc_client.py ResNet101_vd_client_config/serving_client_conf.prototxt
+  tail ResNet101_rpc
+  kill_server_process
+  check_result $FUNCNAME
+}
+
+function cnn_rpc(){
+  setproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/imdb
+  cp -r /root/.cache/dist_data/serving/imdb/* ./
+  tar xf imdb_model.tar.gz && tar xf text_classification_data.tar.gz
+  sed -i 's/9292/8865/g' test_client.py
+  python2.7 -m paddle_serving_server.serve --model imdb_cnn_model/ --port 8865 > cnn_rpc 2>&1 &
+  sleep 5
+  head test_data/part-0 | python2.7 test_client.py imdb_cnn_client_conf/serving_client_conf.prototxt imdb.vocab
+  tail cnn_rpc
+  check_result $FUNCNAME
+  kill_server_process
+}
+
+function bow_rpc(){
+  setproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/imdb
+  sed -i 's/8865/8866/g' test_client.py
+  python2.7 -m paddle_serving_server.serve --model imdb_bow_model/ --port 8866 > bow_rpc 2>&1 &
+  sleep 5
+  head test_data/part-0 | python2.7 test_client.py imdb_bow_client_conf/serving_client_conf.prototxt imdb.vocab
+  tail bow_rpc
+  check_result $FUNCNAME
+  kill_server_process
+  sleep 5
+}
+
+function lstm_rpc(){
+  setproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/imdb
+  sed -i 's/8866/8867/g' test_client.py
+  python2.7 -m paddle_serving_server.serve --model imdb_lstm_model/ --port 8867 > lstm_rpc 2>&1 &
+  sleep 5
+  head test_data/part-0 | python2.7 test_client.py imdb_lstm_client_conf/serving_client_conf.prototxt imdb.vocab
+  tail lstm_rpc
+  check_result $FUNCNAME
+  kill_server_process
+  kill `ps -ef|grep imdb|awk '{print $2}'`
+}
+
+function lac_rpc(){
+  setproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/lac
+  python2.7 -m paddle_serving_app.package --get_model lac >/dev/null 2>&1
+  tar xf lac.tar.gz
+  sed -i 's/9292/8868/g' lac_client.py
+  python2.7 -m paddle_serving_server.serve --model lac_model/ --port 8868 > lac_rpc 2>&1 &
+  sleep 5
+  echo "我爱北京天安门" | python2.7 lac_client.py lac_client/serving_client_conf.prototxt lac_dict/
+  tail lac_rpc
+  check_result $FUNCNAME
+  kill_server_process
+}
+
+function fit_a_line_rpc(){
+  setproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/fit_a_line
+  sh get_data.sh >/dev/null 2>&1
+  sed -i 's/9393/8869/g' test_client.py
+  python2.7 -m paddle_serving_server.serve --model uci_housing_model --port 8869 > line_rpc 2>&1 &
+  sleep 5
+  python2.7 test_client.py uci_housing_client/serving_client_conf.prototxt
+  tail line_rpc
+  check_result $FUNCNAME
+  kill_server_process
+}
+
+function faster_rcnn_model_rpc(){
+  run_gpu_env
+  setproxy
+  cd ${build_path}/python/examples/faster_rcnn_model
+  cp -r /root/.cache/dist_data/serving/faster_rcnn/faster_rcnn_model.tar.gz ./
+  tar xf faster_rcnn_model.tar.gz
+  wget https://paddle-serving.bj.bcebos.com/pddet_demo/infer_cfg.yml >/dev/null 2>&1
+  mv faster_rcnn_model/pddet* ./
+  sed -i 's/9494/8870/g' test_client.py
+  python2.7 -m paddle_serving_server_gpu.serve --model pddet_serving_model --port 8870 --gpu_id 0 > faster_rcnn_rpc 2>&1 &
+  sleep 3
+  python2.7 test_client.py pddet_client_conf/serving_client_conf.prototxt infer_cfg.yml 000000570688.jpg
+  tail faster_rcnn_rpc
+  check_result $FUNCNAME
+  kill_server_process
+}
+
+function cascade_rcnn_rpc(){
+  setproxy
+  run_gpu_env
+  cd ${build_path}/python/examples/cascade_rcnn
+  cp -r /root/.cache/dist_data/serving/cascade_rcnn/cascade_rcnn_r50_fpx_1x_serving.tar.gz ./
+  tar xf cascade_rcnn_r50_fpx_1x_serving.tar.gz
+  sed -i "s/9292/8879/g" test_client.py
+  python2.7 -m paddle_serving_server_gpu.serve --model serving_server --port 8879 --gpu_id 0 > rcnn_rpc 2>&1 &
+  ls -hlst
+  sleep 5
+  python2.7 test_client.py
+  tail rcnn_rpc
+  check_result $FUNCNAME
+  kill_server_process
+}
+
+function deeplabv3_rpc() {
+  setproxy
+  run_gpu_env
+  cd ${build_path}/python/examples/deeplabv3
+  cp -r /root/.cache/dist_data/serving/deeplabv3/deeplabv3.tar.gz ./
+  tar xf deeplabv3.tar.gz
+  sed -i "s/9494/8880/g" deeplabv3_client.py
+  python2.7 -m paddle_serving_server_gpu.serve --model deeplabv3_server --gpu_ids 0 --port 8880 > deeplab_rpc 2>&1 &
+  sleep 5
+  python2.7 deeplabv3_client.py
+  tail deeplab_rpc
+  check_result $FUNCNAME
+  kill_server_process
+}
+
+function mobilenet_rpc() {
+  setproxy
+  run_gpu_env
+  cd ${build_path}/python/examples/mobilenet
+  python2.7 -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
+  python2.7 -m paddle_serving_server_gpu.serve --model mobilenet_v2_imagenet_model --gpu_ids 0 --port 8881 > mobilenet_rpc 2>&1 &
+  sleep 5
+  python2.7 mobilenet_tutorial.py
+  tail mobilenet_rpc
+  check_result $FUNCNAME
+  kill_server_process
+}
+
+function unet_rpc() {
+ setproxy
+ run_gpu_env
+ cd ${build_path}/python/examples/unet_for_image_seg
+ python2.7 -m paddle_serving_app.package --get_model unet >/dev/null 2>&1
+ tar xf unet.tar.gz
+ sed -i "s/9494/8882/g" seg_client.py
+ python2.7 -m paddle_serving_server_gpu.serve --model unet_model --gpu_ids 0 --port 8882 > unet_rpc 2>&1 &
+ sleep 5
+ python2.7 seg_client.py
+ tail unet_rpc
+ check_result $FUNCNAME
+ kill_server_process
+}
+
+function resnetv2_rpc() {
+  setproxy
+  run_gpu_env
+  cd ${build_path}/python/examples/resnet_v2_50
+  cp /root/.cache/dist_data/serving/resnet_v2_50/resnet_v2_50_imagenet.tar.gz ./
+  tar xf resnet_v2_50_imagenet.tar.gz
+  sed -i 's/9393/8883/g' resnet50_v2_tutorial.py
+  python2.7 -m paddle_serving_server_gpu.serve --model resnet_v2_50_imagenet_model --gpu_ids 0 --port 8883 > v2_log 2>&1 &
+  sleep 10
+  python2.7 resnet50_v2_tutorial.py
+  tail v2_log
+  check_result $FUNCNAME
+  kill_server_process
+}
+
+function ocr_rpc() {
+  setproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/ocr
+  cp -r /root/.cache/dist_data/serving/ocr/test_imgs ./
+  python2.7 -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
+  python2.7 -m paddle_serving_server.serve --model ocr_rec_model --port 8884 > ocr_rpc 2>&1 &
+  sleep 5
+  python2.7 test_ocr_rec_client.py
+  tail ocr_rpc
+  check_result $FUNCNAME
+  kill_server_process
+}
+
+function criteo_ctr_rpc_cpu() {
+  setproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/criteo_ctr
+  sed -i "s/9292/8885/g" test_client.py
+  ln -s /root/.cache/dist_data/serving/criteo_ctr_with_cube/raw_data ./
+  wget https://paddle-serving.bj.bcebos.com/criteo_ctr_example/criteo_ctr_demo_model.tar.gz >/dev/null 2>&1
+  tar xf criteo_ctr_demo_model.tar.gz
+  mv models/ctr_client_conf .
+  mv models/ctr_serving_model .
+  python2.7 -m paddle_serving_server.serve --model ctr_serving_model/ --port 8885 > criteo_ctr_cpu_rpc 2>&1 &
+  sleep 5
+  python2.7 test_client.py ctr_client_conf/serving_client_conf.prototxt raw_data/part-0
+  tail criteo_ctr_cpu_rpc
+  check_result $FUNCNAME
+  kill_server_process
+}
+
+function criteo_ctr_rpc_gpu() {
+  setproxy
+  run_gpu_env
+  cd ${build_path}/python/examples/criteo_ctr
+  sed -i "s/8885/8886/g" test_client.py
+  python2.7 -m paddle_serving_server_gpu.serve --model ctr_serving_model/ --port 8886 --gpu_ids 0 > criteo_ctr_gpu_rpc 2>&1 &
+  sleep 5
+  python2.7 test_client.py ctr_client_conf/serving_client_conf.prototxt raw_data/
+  tail criteo_ctr_gpu_rpc
+  check_result $FUNCNAME
+  kill_server_process
+}
+
+function yolov4_rpc_gpu() {
+  setproxy
+  run_gpu_env
+  cd ${build_path}/python/examples/yolov4
+  sed -i "s/9393/8887/g" test_client.py
+  cp -r /root/.cache/dist_data/serving/yolov4/yolov4.tar.gz ./
+  tar xf yolov4.tar.gz
+  python2.7 -m paddle_serving_server_gpu.serve --model yolov4_model --port 8887 --gpu_ids 0 > yolov4_rpc_log 2>&1 &
+  sleep 5
+  python2.7 test_client.py 000000570688.jpg
+  tail yolov4_rpc_log
+# check_result $FUNCNAME
+  kill_server_process
+}
+
+function senta_rpc_cpu() {
+  setproxy
+  run_gpu_env
+  cd ${build_path}/python/examples/senta
+  sed -i "s/9393/8887/g" test_client.py
+  cp -r /data/.cache/dist_data/serving/yolov4/yolov4.tar.gz ./
+  tar xf yolov4.tar.gz
+  python2.7 -m paddle_serving_server_gpu.serve --model yolov4_model --port 8887 --gpu_ids 0 > yolov4_rpc_log 2>&1 &
+  sleep 5
+  python2.7 test_client.py 000000570688.jpg
+  tail yolov4_rpc_log
+  check_result $FUNCNAME
+  kill_server_process
+}
+
+function fit_a_line_http() {
+  unsetproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/fit_a_line
+  sed -i "s/9292/8871/g" test_server.py
+  python2.7 test_server.py > http_log2 2>&1 &
+  sleep 10
+  curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"x": [0.0137, -0.1136, 0.2553, -0.0692, 0.0582, -0.0727, -0.1583, -0.0584, 0.6283, 0.4919, 0.1856, 0.0795, -0.0332]}], "fetch":["price"]}' http://${host}:8871/uci/prediction
+  check_result $FUNCNAME
+  kill_server_process
+}
+
+function lac_http() {
+  unsetproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/lac
+  python2.7 lac_web_service.py lac_model/ lac_workdir 8872 > http_lac_log2 2>&1 &
+  sleep 10
+  curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "我爱北京天安门"}], "fetch":["word_seg"]}' http://${host}:8872/lac/prediction
+  check_result $FUNCNAME
+  kill_server_process
+}
+
+function cnn_http() {
+  unsetproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/imdb
+  python2.7 text_classify_service.py imdb_cnn_model/ workdir/ 8873 imdb.vocab > cnn_http 2>&1 &
+  sleep 10
+  curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "i am very sad | 0"}], "fetch":["prediction"]}' http://${host}:8873/imdb/prediction
+  check_result $FUNCNAME
+  kill_server_process
+}
+
+function bow_http() {
+  unsetproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/imdb
+  python2.7 text_classify_service.py imdb_bow_model/ workdir/ 8874 imdb.vocab > bow_http 2>&1 &
+  sleep 10
+  curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "i am very sad | 0"}], "fetch":["prediction"]}' http://${host}:8874/imdb/prediction
+  check_result $FUNCNAME
+  kill_server_process
+}
+
+function lstm_http() {
+  unsetproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/imdb
+  python2.7 text_classify_service.py imdb_bow_model/ workdir/ 8875 imdb.vocab > bow_http 2>&1 &
+  sleep 10
+  curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "i am very sad | 0"}], "fetch":["prediction"]}' http://${host}:8875/imdb/prediction
+  check_result $FUNCNAME
+  kill_server_process
+}
+
+function ResNet50_http() {
+  unsetproxy
+  run_gpu_env
+  cd ${build_path}/python2.7/examples/imagenet
+  python2.7 resnet50_web_service.py ResNet50_vd_model gpu 8876 > resnet50_http 2>&1 &
+  sleep 10
+  curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"image": "https://paddle-serving.bj.bcebos.com/imagenet-example/daisy.jpg"}], "fetch": ["score"]}' http://${host}:8876/image/prediction
+  check_result $FUNCNAME
+  kill_server_process
+}
+
+bert_http(){
+  run_gpu_env
+  unsetproxy
+  cd ${build_path}/python/examples/bert
+  cp data-c.txt.1 data-c.txt
+  cp vocab.txt.1 vocab.txt
+  export CUDA_VISIBLE_DEVICES=0
+  python2.7 bert_web_service.py bert_seq128_model/ 8878 > bert_http 2>&1 &
+  sleep 10
+  curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "hello"}], "fetch":["pooled_output"]}' http://${host}:8878/bert/prediction
+  check_result $FUNCNAME
+  kill_server_process
+}
+
+grpc_impl(){
+  run_gpu_env
+  cd ${build_path}/python/examples/grpc_impl_example/fit_a_line
+  sh get_data.sh >/dev/null 2>&1
+  python2.7 test_server.py uci_housing_model/ > grpclog 2>&1 &
+  sleep 5
+  echo "sync predict"
+  python2.7 test_sync_client.py
+  echo "async predict"
+  python2.7 test_asyn_client.py
+  echo "batch predict"
+  python2.7 test_batch_client.py
+  echo "timeout predict"
+  python2.7 test_timeout_client.py
+  # check_result $FUNCNAME
+  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 $2}'`
+  sleep 5
+  echo "===========files==========="
+  ls -hlst
+  echo "=========== end ==========="
+}
+
+function main() {
+  before_hook
+  build_all_whl
+  check
+  run_env
+  run_rpc_models
+#   run_http_models
+  end_hook
+
+}
+
+
+main$@

tools/scripts/ipipe_py3.sh

+#!/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
+
+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_path=/workspace/Serving/
+build_whl_list=(build_gpu_server build_client build_cpu_server build_app)
+rpc_model_list=(grpc_impl 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)
+http_model_list=(fit_a_line_http lac_http cnn_http bow_http lstm_http ResNet50_http bert_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 $1 |awk '{print $2}'`
+  kill `ps -ef|grep serving |awk '{print $2}'`
+}
+
+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-cpu 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 [ $? -ne 0 ];then
+      echo -e "\033[4;31;42m$1 model runs failed, please check your pull request or modify test case! \033[0m"
+      exit 1
+    else
+      echo -e "\033[4;37;42m$1 model runs successfully, congratulations! \033[0m"
+    fi
+}
+
+function before_hook(){
+  setproxy
+  cd ${build_path}/python
+  pip3.6 install --upgrade pip
+  pip3.6 install requests
+  pip3.6 install -r requirements.txt
+  pip3.6 install numpy==1.16.4
+  echo "before hook configuration is successful.... "
+}
+
+function run_env(){
+  setproxy
+  pip3.6 install --upgrade nltk==3.4
+  pip3.6 install --upgrade scipy==1.2.1
+  pip3.6 install --upgrade setuptools==41.0.0
+  pip3.6 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 run_cpu_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_cpu/third_party/install/Paddle/lib/:$LD_LIBRARY_PATH
+  export SERVING_BIN=${build_path}/build_cpu/core/general-server/serving
+  echo "run cpu 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
+    pip3.6 uninstall paddle-serving-server-gpu -y
+    pip3.6 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/* ../
+     pip3.6 uninstall paddle-serving-client -y
+     pip3.6 install ${build_path}/build/python/dist/*
+}
+
+function build_cpu_server(){
+      setproxy
+      cd ${build_path}
+      if [ -d build_cpu ];then
+          rm -rf build_cpu
+      fi
+      if [ -d build ];then
+          rm -rf build
+      fi
+      mkdir build && cd build
+      cmake -DPYTHON_INCLUDE_DIR=$PYTHONROOT/include/python3.6m/ \
+            -DPYTHON_LIBRARIES=$PYTHONROOT/lib64/libpython3.6.so \
+            -DPYTHON_EXECUTABLE=$PYTHONROOT/bin/python3.6 \
+            -DWITH_GPU=OFF \
+            -DSERVER=ON ..
+      make -j18
+      make -j18
+      make install -j18
+      cp ${build_path}/build/python/dist/* ../
+      pip3.6 uninstall paddle-serving-server -y
+      pip3.6 install ${build_path}/build/python/dist/*
+      cp -r ${build_path}/build/ ${build_path}/build_cpu
+}
+
+function build_app() {
+  setproxy
+  pip3.6 install paddlehub ujson Pillow
+  pip3.6 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/* ../
+  pip3.6 uninstall paddle-serving-app -y
+  pip3.6 install ${build_path}/build/python/dist/*
+}
+
+function bert_rpc_gpu(){
+  run_gpu_env
+  unsetproxy
+  cd ${build_path}/python/examples/bert
+  sh get_data.sh >/dev/null 2>&1
+  sed -i 's/9292/8860/g' bert_client.py
+  sed -i '$aprint(result)' bert_client.py
+  cp -r /root/.cache/dist_data/serving/bert/bert_seq128_* ./
+  ls -hlst
+  python3.6 -m paddle_serving_server_gpu.serve --model bert_seq128_model/ --port 8860 --gpu_ids 0 &
+  sleep 15
+  nvidia-smi
+  head data-c.txt | python3.6 bert_client.py --model bert_seq128_client/serving_client_conf.prototxt
+  nvidia-smi
+  check_result $FUNCNAME
+  kill_server_process serving
+}
+
+function bert_rpc_cpu(){
+  run_cpu_env
+  unsetproxy
+  cd ${build_path}/python/examples/bert
+  sed -i 's/8860/8861/g' bert_client.py
+  python3.6 -m paddle_serving_server.serve --model bert_seq128_model/ --port 8861 &
+  sleep 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
+  check_result $FUNCNAME
+  kill_server_process serving
+}
+
+function criteo_ctr_with_cube_rpc(){
+  unsetproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/criteo_ctr_with_cube
+  ln -s /root/.cache/dist_data/serving/criteo_ctr_with_cube/raw_data ./
+  sed -i "s/9292/8888/g" test_server.py
+  sed -i "s/9292/8888/g" test_client.py
+  wget https://paddle-serving.bj.bcebos.com/unittest/ctr_cube_unittest.tar.gz >/dev/null 2>&1
+  tar xf ctr_cube_unittest.tar.gz
+  mv models/ctr_client_conf ./
+  mv models/ctr_serving_model_kv ./
+  mv models/data ./cube/
+  wget https://paddle-serving.bj.bcebos.com/others/cube_app.tar.gz >/dev/null 2>&1
+  tar xf cube_app.tar.gz
+  mv cube_app/cube* ./cube/
+  sh cube_prepare.sh > haha 2>&1 &
+  sleep 5
+  python3.6 test_server.py ctr_serving_model_kv &
+  sleep 5
+  python3.6 test_client.py ctr_client_conf/serving_client_conf.prototxt ./raw_data
+  check_result $FUNCNAME
+  kill `ps -ef|grep cube|awk '{print $2}'`
+  kill_server_process test_server
+}
+
+function pipeline_imagenet(){
+  run_gpu_env
+  unsetproxy
+  cd ${build_path}/python/examples/pipeline/imagenet
+  cp -r /root/.cache/dist_data/serving/imagenet/* ./
+  ls -a
+  python3.6 resnet50_web_service.py &
+  sleep 5
+  nvidia-smi
+  python3.6 pipeline_rpc_client.py
+  nvidia-smi
+  # check_result $FUNCNAME
+  kill_server_process resnet50_web_service
+}
+
+function ResNet50_rpc(){
+  run_gpu_env
+  unsetproxy
+  cd ${build_path}/python/examples/imagenet
+  cp -r /root/.cache/dist_data/serving/imagenet/* ./
+  sed -i 's/9696/8863/g' resnet50_rpc_client.py
+  python3.6 -m paddle_serving_server_gpu.serve --model ResNet50_vd_model --port 8863 --gpu_ids 0 &
+  sleep 5
+  nvidia-smi
+  python3.6 resnet50_rpc_client.py ResNet50_vd_client_config/serving_client_conf.prototxt
+  nvidia-smi
+  check_result $FUNCNAME
+  kill_server_process serving
+}
+
+function ResNet101_rpc(){
+  run_gpu_env
+  unsetproxy
+  cd ${build_path}/python/examples/imagenet
+  sed -i "22cclient.connect(['${host}:8864'])" image_rpc_client.py
+  python3.6 -m paddle_serving_server_gpu.serve --model ResNet101_vd_model --port 8864 --gpu_ids 0 &
+  sleep 5
+  nvidia-smi
+  python3.6 image_rpc_client.py ResNet101_vd_client_config/serving_client_conf.prototxt
+  nvidia-smi
+  check_result $FUNCNAME
+  kill_server_process serving
+  sleep 5
+}
+
+function cnn_rpc(){
+  unsetproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/imdb
+  cp -r /root/.cache/dist_data/serving/imdb/* ./
+  tar xf imdb_model.tar.gz && tar xf text_classification_data.tar.gz
+  sed -i 's/9292/8865/g' test_client.py
+  python3.6 -m paddle_serving_server.serve --model imdb_cnn_model/ --port 8865 &
+  sleep 5
+  head test_data/part-0 | python3.6 test_client.py imdb_cnn_client_conf/serving_client_conf.prototxt imdb.vocab
+  check_result $FUNCNAME
+  kill_server_process serving
+}
+
+function bow_rpc(){
+  unsetproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/imdb
+  sed -i 's/8865/8866/g' test_client.py
+  python3.6 -m paddle_serving_server.serve --model imdb_bow_model/ --port 8866 &
+  sleep 5
+  head test_data/part-0 | python3.6 test_client.py imdb_bow_client_conf/serving_client_conf.prototxt imdb.vocab
+  check_result $FUNCNAME
+  kill_server_process serving
+}
+
+function lstm_rpc(){
+  unsetproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/imdb
+  sed -i 's/8866/8867/g' test_client.py
+  python3.6 -m paddle_serving_server.serve --model imdb_lstm_model/ --port 8867 &
+  sleep 5
+  head test_data/part-0 | python3.6 test_client.py imdb_lstm_client_conf/serving_client_conf.prototxt imdb.vocab
+  check_result $FUNCNAME
+  kill_server_process serving
+}
+
+function lac_rpc(){
+  unsetproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/lac
+  python3.6 -m paddle_serving_app.package --get_model lac >/dev/null 2>&1
+  tar xf lac.tar.gz
+  sed -i 's/9292/8868/g' lac_client.py
+  python3.6 -m paddle_serving_server.serve --model lac_model/ --port 8868 &
+  sleep 5
+  echo "我爱北京天安门" | python3.6 lac_client.py lac_client/serving_client_conf.prototxt lac_dict/
+  check_result $FUNCNAME
+  kill_server_process serving
+}
+
+function fit_a_line_rpc(){
+  unsetproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/fit_a_line
+  sh get_data.sh >/dev/null 2>&1
+  sed -i 's/9393/8869/g' test_client.py
+  python3.6 -m paddle_serving_server.serve --model uci_housing_model --port 8869 &
+  sleep 5
+  python3.6 test_client.py uci_housing_client/serving_client_conf.prototxt
+  check_result $FUNCNAME
+  kill_server_process serving
+}
+
+function faster_rcnn_model_rpc(){
+  unsetproxy
+  run_gpu_env
+  cd ${build_path}/python/examples/faster_rcnn
+  cp -r /root/.cache/dist_data/serving/faster_rcnn/faster_rcnn_model.tar.gz ./
+  tar xf faster_rcnn_model.tar.gz
+  wget https://paddle-serving.bj.bcebos.com/pddet_demo/infer_cfg.yml >/dev/null 2>&1
+  mv faster_rcnn_model/pddet* ./
+  sed -i 's/9494/8870/g' test_client.py
+  python3.6 -m paddle_serving_server_gpu.serve --model pddet_serving_model --port 8870 --gpu_id 0 --thread 2 &
+  echo "faster rcnn running ..."
+  nvidia-smi
+  sleep 5
+  python3.6 test_client.py pddet_client_conf/serving_client_conf.prototxt infer_cfg.yml 000000570688.jpg
+  nvidia-smi
+  check_result $FUNCNAME
+  kill_server_process serving
+}
+
+function cascade_rcnn_rpc(){
+  unsetproxy
+  run_gpu_env
+  cd ${build_path}/python/examples/cascade_rcnn
+  cp -r /root/.cache/dist_data/serving/cascade_rcnn/cascade_rcnn_r50_fpx_1x_serving.tar.gz ./
+  tar xf cascade_rcnn_r50_fpx_1x_serving.tar.gz
+  sed -i "s/9292/8879/g" test_client.py
+  python3.6 -m paddle_serving_server_gpu.serve --model serving_server --port 8879 --gpu_id 0 --thread 2 &
+  sleep 5
+  nvidia-smi
+  python3.6 test_client.py
+  nvidia-smi
+  check_result $FUNCNAME
+  kill_server_process serving
+}
+
+function deeplabv3_rpc() {
+  unsetproxy
+  run_gpu_env
+  cd ${build_path}/python/examples/deeplabv3
+  cp -r /root/.cache/dist_data/serving/deeplabv3/deeplabv3.tar.gz ./
+  tar xf deeplabv3.tar.gz
+  sed -i "s/9494/8880/g" deeplabv3_client.py
+  python3.6 -m paddle_serving_server_gpu.serve --model deeplabv3_server --gpu_ids 0 --port 8880 --thread 2 &
+  sleep 5
+  nvidia-smi
+  python3.6 deeplabv3_client.py
+  nvidia-smi
+  check_result $FUNCNAME
+  kill_server_process serving
+}
+
+function mobilenet_rpc() {
+  unsetproxy
+  run_gpu_env
+  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_gpu.serve --model mobilenet_v2_imagenet_model --gpu_ids 0 --port 8881 &
+  sleep 5
+  nvidia-smi
+  python3.6 mobilenet_tutorial.py
+  nvidia-smi
+  check_result $FUNCNAME
+  kill_server_process serving
+}
+
+function unet_rpc() {
+ unsetproxy
+ run_gpu_env
+ cd ${build_path}/python/examples/unet_for_image_seg
+ python3.6 -m paddle_serving_app.package --get_model unet >/dev/null 2>&1
+ tar xf unet.tar.gz
+ sed -i "s/9494/8882/g" seg_client.py
+ python3.6 -m paddle_serving_server_gpu.serve --model unet_model --gpu_ids 0 --port 8882 &
+ sleep 5
+ nvidia-smi
+ python3.6 seg_client.py
+ nvidia-smi
+ check_result $FUNCNAME
+ kill_server_process serving
+}
+
+function resnetv2_rpc() {
+  unsetproxy
+  run_gpu_env
+  cd ${build_path}/python/examples/resnet_v2_50
+  cp /root/.cache/dist_data/serving/resnet_v2_50/resnet_v2_50_imagenet.tar.gz ./
+  tar xf resnet_v2_50_imagenet.tar.gz
+  sed -i 's/9393/8883/g' resnet50_v2_tutorial.py
+  python3.6 -m paddle_serving_server_gpu.serve --model resnet_v2_50_imagenet_model --gpu_ids 0 --port 8883 &
+  sleep 10
+  nvidia-smi
+  python3.6 resnet50_v2_tutorial.py
+  nvidia-smi
+  check_result $FUNCNAME
+  kill_server_process serving
+}
+
+function ocr_rpc() {
+  unsetproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/ocr
+  cp -r /root/.cache/dist_data/serving/ocr/test_imgs ./
+  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 &
+  sleep 5
+  python3.6 test_ocr_rec_client.py
+ # check_result $FUNCNAME
+  kill_server_process serving
+}
+
+function criteo_ctr_rpc_cpu() {
+  unsetproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/criteo_ctr
+  sed -i "s/9292/8885/g" test_client.py
+  ln -s /root/.cache/dist_data/serving/criteo_ctr_with_cube/raw_data ./
+  wget https://paddle-serving.bj.bcebos.com/criteo_ctr_example/criteo_ctr_demo_model.tar.gz >/dev/null 2>&1
+  tar xf criteo_ctr_demo_model.tar.gz
+  mv models/ctr_client_conf .
+  mv models/ctr_serving_model .
+  python3.6 -m paddle_serving_server.serve --model ctr_serving_model/ --port 8885 &
+  sleep 5
+  python3.6 test_client.py ctr_client_conf/serving_client_conf.prototxt raw_data/part-0
+  check_result $FUNCNAME
+  kill_server_process serving
+}
+
+function criteo_ctr_rpc_gpu() {
+  unsetproxy
+  run_gpu_env
+  cd ${build_path}/python/examples/criteo_ctr
+  sed -i "s/8885/8886/g" test_client.py
+  wget https://paddle-serving.bj.bcebos.com/criteo_ctr_example/criteo_ctr_demo_model.tar.gz >/dev/null 2>&1
+  python3.6 -m paddle_serving_server_gpu.serve --model ctr_serving_model/ --port 8886 --gpu_ids 0 &
+  sleep 5
+  nvidia-smi
+  python3.6 test_client.py ctr_client_conf/serving_client_conf.prototxt raw_data/
+  nvidia-smi
+  check_result $FUNCNAME
+  kill `ps -ef|grep ctr|awk '{print $2}'`
+  kill_server_process serving
+}
+
+function yolov4_rpc_gpu() {
+  unsetproxy
+  run_gpu_env
+  cd ${build_path}/python/examples/yolov4
+  sed -i "s/9393/8887/g" test_client.py
+  cp -r /root/.cache/dist_data/serving/yolov4/yolov4.tar.gz ./
+  tar xf yolov4.tar.gz
+  python3.6 -m paddle_serving_server_gpu.serve --model yolov4_model --port 8887 --gpu_ids 0 &
+  nvidia-smi
+  sleep 5
+  python3.6 test_client.py 000000570688.jpg
+  nvidia-smi
+ # check_result $FUNCNAME
+  kill_server_process serving
+}
+
+function senta_rpc_cpu() {
+  unsetproxy
+  run_gpu_env
+  cd ${build_path}/python/examples/senta
+  sed -i "s/9393/8887/g" test_client.py
+  cp -r /data/.cache/dist_data/serving/yolov4/yolov4.tar.gz ./
+  tar xf yolov4.tar.gz
+  python3.6 -m paddle_serving_server_gpu.serve --model yolov4_model --port 8887 --gpu_ids 0 &
+  nvidia-smi
+  sleep 5
+  python3.6 test_client.py 000000570688.jpg
+  nvidia-smi
+  check_result $FUNCNAME
+  kill_server_process serving
+}
+
+
+function fit_a_line_http() {
+  unsetproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/fit_a_line
+  sed -i "s/9292/8871/g" test_server.py
+  python3.6 test_server.py &
+  sleep 10
+  curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"x": [0.0137, -0.1136, 0.2553, -0.0692, 0.0582, -0.0727, -0.1583, -0.0584, 0.6283, 0.4919, 0.1856, 0.0795, -0.0332]}], "fetch":["price"]}' http://${host}:8871/uci/prediction
+  check_result $FUNCNAME
+  kill_server_process test_server
+}
+
+function lac_http() {
+  unsetproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/lac
+  python3.6 lac_web_service.py lac_model/ lac_workdir 8872 &
+  sleep 10
+  curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "我爱北京天安门"}], "fetch":["word_seg"]}' http://${host}:8872/lac/prediction
+  check_result $FUNCNAME
+  kill_server_process lac_web_service
+}
+
+function cnn_http() {
+  unsetproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/imdb
+  python3.6 text_classify_service.py imdb_cnn_model/ workdir/ 8873 imdb.vocab &
+  sleep 10
+  curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "i am very sad | 0"}], "fetch":["prediction"]}' http://${host}:8873/imdb/prediction
+  check_result $FUNCNAME
+  kill_server_process text_classify_service
+}
+
+function bow_http() {
+  unsetproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/imdb
+  python3.6 text_classify_service.py imdb_bow_model/ workdir/ 8874 imdb.vocab &
+  sleep 10
+  curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "i am very sad | 0"}], "fetch":["prediction"]}' http://${host}:8874/imdb/prediction
+  check_result $FUNCNAME
+  kill_server_process text_classify_service
+}
+
+function lstm_http() {
+  unsetproxy
+  run_cpu_env
+  cd ${build_path}/python/examples/imdb
+  python3.6 text_classify_service.py imdb_bow_model/ workdir/ 8875 imdb.vocab &
+  sleep 10
+  curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "i am very sad | 0"}], "fetch":["prediction"]}' http://${host}:8875/imdb/prediction
+  check_result $FUNCNAME
+  kill `ps -ef|grep imdb|awk '{print $2}'`
+  kill_server_process text_classify_service
+}
+
+function ResNet50_http() {
+  unsetproxy
+  run_gpu_env
+  cd ${build_path}/python/examples/imagenet
+  python3.6 resnet50_web_service.py ResNet50_vd_model gpu 8876 &
+  sleep 10
+  curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"image": "https://paddle-serving.bj.bcebos.com/imagenet-example/daisy.jpg"}], "fetch": ["score"]}' http://${host}:8876/image/prediction
+  check_result $FUNCNAME
+  kill_server_process resnet50_web_service
+}
+
+function bert_http(){
+  unsetproxy
+  run_gpu_env
+  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 &
+  sleep 5
+  curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "hello"}], "fetch":["pooled_output"]}' http://127.0.0.1:8878/bert/prediction
+  check_result $FUNCNAME
+  kill_server_process bert_web_service
+}
+
+grpc_impl(){
+  unsetproxy
+  run_gpu_env
+  cd ${build_path}/python/examples/grpc_impl_example/fit_a_line
+  sh get_data.sh >/dev/null 2>&1
+  python3.6 test_server.py uci_housing_model/ &
+  sleep 5
+  echo "sync predict"
+  python3.6 test_sync_client.py
+  echo "async predict"
+  python3.6 test_asyn_client.py
+  echo "batch predict"
+  python3.6 test_batch_client.py
+  echo "timeout predict"
+  python3.6 test_timeout_client.py
+#  check_result $FUNCNAME
+  kill_server_process test_server
+}
+
+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 $2}'`
+  sleep 5
+  echo "===========files==========="
+  ls -hlst
+  echo "=========== end ==========="
+
+}
+
+function main() {
+  before_hook
+  build_all_whl
+  check
+  run_env
+  run_rpc_models
+#   run_http_models
+  end_hook
+}
+
+
+main$@