diff --git a/paddle/scripts/fast_install.sh b/paddle/scripts/fast_install.sh
new file mode 100644
index 0000000000000000000000000000000000000000..b960d0f00a26196c827053c41a3b35b97e7cdb07
--- /dev/null
+++ b/paddle/scripts/fast_install.sh
@@ -0,0 +1,923 @@
+#!/bin/bash
+
+path='http://paddlepaddle.org/download?url='
+#release_version=`curl -s https://pypi.org/project/paddlepaddle/|grep -E "/project/paddlepaddle/"|grep "release"|awk -F '/' '{print $(NF-1)}'|head -1`
+release_version=1.2.0
+python_list=(
+"27"
+"35"
+"36"
+"37"
+)
+
+
+function use_cpu(){
+   while true
+    do
+     read -p "是否安装CPU版本的PaddlePaddle？(y/n)" cpu_option
+     cpu_option=`echo $cpu_option | tr 'A-Z' 'a-z'`
+     if [[ "$cpu_option" == "" || "$cpu_option" == "n" ]];then
+        echo "退出安装中..."
+        exit
+     else
+        GPU='cpu'
+        echo "将为您安装CPU版本的PaddlePaddle"
+        break
+     fi
+    done
+}
+
+function checkLinuxCUDNN(){
+   echo
+   read -n1 -p "请按回车键进行下一步..."
+   echo
+   while true
+   do
+       version_file='/usr/local/cuda/include/cudnn.h'
+       if [ -f "$version_file" ];then
+          CUDNN=`cat $version_file | grep CUDNN_MAJOR |awk 'NR==1{print $NF}'`
+       fi
+       if [ "$CUDNN" == "" ];then
+           version_file=`sudo find /usr -name "cudnn.h"|head -1`
+           if [ "$version_file" != "" ];then
+               CUDNN=`cat ${version_file} | grep CUDNN_MAJOR -A 2|awk 'NR==1{print $NF}'`
+           else
+               echo "检测结果：未在常规路径下找到cuda/include/cudnn.h文件"
+               while true
+               do
+                  read -p "请核实cudnn.h位置，并在此输入路径（请注意，路径需要输入到“cudnn.h”这一级）:" cudnn_version
+                  echo
+                  if [ "$cudnn_version" == "" ] || [ ! -f "$cudnn_version" ];then
+                        read -p "仍未找到cuDNN，输入y将安装CPU版本的PaddlePaddle，输入n可重新录入cuDNN路径，请输入（y/n）" cpu_option
+                        echo
+                        cpu_option=`echo $cpu_option | tr 'A-Z' 'a-z'`
+                        if [ "$cpu_option" == "y" -o "$cpu_option" == "" ];then
+                            GPU='cpu'
+                            break
+                        else
+                            echo "请重新输入"
+                            echo
+                        fi
+                  else
+                     CUDNN=`cat $cudnn_version | grep CUDNN_MAJOR |awk 'NR==1{print $NF}'`
+                     echo "检测结果：找到cudnn.h"
+                     break
+                  fi
+                 done
+             if [ "$GPU" == "cpu" ];then
+                break
+             fi
+           fi
+       fi
+       if [ "$CUDA" == "9" -a "$CUDNN" != "7" ];then
+           echo
+           echo "目前CUDA9下仅支持cuDNN7，暂不支持您机器上的CUDNN${CUDNN}。您可以访问NVIDIA官网下载适合版本的CUDNN，请ctrl+c退出安装进程。按回车键将为您安装CPU版本的PaddlePaddle"
+           echo
+          use_cpu()
+          if [ "$GPU"=="cpu" ];then
+             break
+          fi
+       fi
+
+       if [ "$CUDNN" == 5 ] || [ "$CUDNN" == 7 ];then
+          echo
+          echo "您的CUDNN版本是: CUDNN$CUDNN"
+          break
+       else
+          echo
+          read -n1 -p "目前支持的CUDNN版本为5和7,暂不支持您机器上的CUDNN${CUDNN}，将为您安装CPU版本的PaddlePaddle,请按回车键开始安装"
+          echo
+          use_cpu
+          if [ "$GPU"=="cpu" ];then
+             break
+          fi
+       fi
+   done
+}
+
+function checkLinuxCUDA(){
+   while true
+   do
+       CUDA=`echo ${CUDA_VERSION}|awk -F "[ .]" '{print $1}'`
+       if [ "$CUDA" == "" ];then
+         if [ -f "/usr/local/cuda/version.txt" ];then
+           CUDA=`cat /usr/local/cuda/version.txt | grep 'CUDA Version'|awk -F '[ .]' '{print $3}'`
+           tmp_cuda=$CUDA
+         fi
+         if [ -f "/usr/local/cuda8/version.txt" ];then
+           CUDA=`cat /usr/local/cuda8/version.txt | grep 'CUDA Version'|awk -F '[ .]' '{print $3}'`
+           tmp_cuda8=$CUDA
+         fi
+         if [ -f "/usr/local/cuda9/version.txt" ];then
+           CUDA=`cat /usr/local/cuda9/version.txt | grep 'CUDA Version'|awk -F '[ .]' '{print $3}'`
+           tmp_cuda9=$CUDA
+         fi
+       fi
+
+       if [ "$tmp_cuda" != "" ];then
+         echo "检测结果：找到CUDA $tmp_cuda"
+       fi
+       if [ "$tmp_cudai8" != "" ];then
+         echo "检测结果：找到CUDA $tmp_cuda8"
+       fi
+       if [ "$tmp_cuda9" != "" ];then
+         echo "检测结果：找到CUDA $tmp_cuda9"
+       fi
+
+       if [ "$CUDA" == "" ];then
+            echo "检测结果：没有在常规路径下找到cuda/version.txt文件"
+            while true
+            do
+                read -p "请输入cuda/version.txt的路径:" cuda_version
+                if [ "$cuda_version" == "" || ! -f "$cuda_version" ];then
+                    read -p "仍未找到CUDA，输入y将安装CPU版本的PaddlePaddle，输入n可重新录入CUDA路径，请输入（y/n）" cpu_option
+                    cpu_option=`echo $cpu_option | tr 'A-Z' 'a-z'`
+                    if [ "$cpu_option" == "y" || "$cpu_option" == "" ];then
+                        GPU='cpu'
+                        break
+                    else
+                        echo "重新输入..."
+                    fi
+                else
+                    CUDA=`cat $cuda_version | grep 'CUDA Version'|awk -F '[ .]' '{print $3}'`
+                    if [ "$CUDA" == "" ];then
+                        echo "未能在version.txt中找到CUDA相关信息"
+                    else
+                        break
+                    fi
+                fi
+            done
+            if [ "$GPU" == "cpu" ];then
+                break
+            fi
+       fi
+
+       if [ "$CUDA" == "8" ] || [ "$CUDA" == "9" ];then
+          echo "您的CUDA版本是${CUDA}"
+          break
+       else
+          echo "目前支持CUDA8/9，暂不支持您的CUDA${CUDA}，将为您安装CPU版本的PaddlePaddle"
+          echo
+          use_cpu
+       fi
+
+       if [ "$GPU" == "cpu" ];then
+          break
+       fi
+   done
+}
+
+function checkLinuxMathLibrary(){
+  while true
+    do
+      if [ "$AVX" ==  "" ];then
+        echo "正在检测您环境中是否存在AVX指令集..."
+        echo
+        echo "检测结果：您电脑上没有AVX指令集，目前针对无AVX指令集的环境，我们仅提供支持mkl数学库的PaddlePaddle，将为您安装此版本的PaddlePaddle"
+        math='mkl'
+        break
+      elif [ "$GPU" == "gpu" ];then
+        math='mkl'
+        echo "检测到您的机器上配备GPU，推荐您使用mkl数学库"
+        break
+      else
+        read -p "请输入您希望使用的数学库：
+            1：openblas 一个高性能多核 BLAS 库
+            2：mkl（推荐） 英特尔数学核心函数库
+            => 请输入数字1或2。如输入其他字符或直接回车，将会默认选择【 2. mkl 】 。请在这里输入并回车：" math
+          if [ "$math" == "" ];then
+            math="mkl"
+            echo "您选择了数字【2】"
+            break
+          fi
+          if [ "$math" == "1" ];then
+            math=openblas
+            echo "您选择了数字【1】"
+            break
+          elif [ "$math" == "2" ];then
+            math=mkl
+            echo "您选择了数字【2】"
+            break
+          fi
+          echo "输入错误，请再次输入"
+      fi
+    done
+}
+
+function checkLinuxPaddleVersion(){
+  read -n1 -p "请按回车键继续..."
+  while true
+    do
+      read -p "
+               1. 开发版：对应Github上develop分支，如您需要开发、或希望使用PaddlePaddle最新功能，请选用此版本
+               2. 稳定版（推荐）：如您无特殊开发需求，建议使用此版本，目前最新的版本号为 ${release_version}
+                => 请输入数字1或2。如输入其他字符或直接回车，将会默认选择【 2. 稳定版 】 。请在这里输入并回车：" paddle_version
+        if [ "$paddle_version" == "" ];then
+          paddle_version="release-${release_version}"
+          echo "您选择了数字【2】，为您安装release-${release_version}"
+          break
+        fi
+        if [ "$paddle_version" == "1" ];then
+          echo "您选择了数字【1】，将为您安装开发版"
+          break
+        elif [ "$paddle_version" == "2" ];then
+          echo "您选择了数字【2】，为您安装release-${release_version}"
+          break
+        fi
+        echo "输入错误，请再次输入"
+    done
+}
+
+function checkLinuxPip(){
+  while true
+    do
+       echo "请输入您要使用的pip目录（您可以另起终端，并使用which pip来查看）："
+       read -p "" pip_path
+       if [ "$pip_path" == "" -o ! -f "$pip_path" ];then
+         echo "检测结果：pip不存在,请重新输入"
+         continue
+       fi
+       python_version=`$pip_path --version|awk -F "[ |)]" '{print $6}'|sed 's#\.##g'`
+       if [ "$python_version" == "27" ];then
+         uncode=`python -c "import pip._internal;print(pip._internal.pep425tags.get_supported())"|grep "cp27mu"`
+         if [[ "$uncode" == "" ]];then
+            uncode=
+         else
+            uncode=u
+         fi
+       fi
+       if [ "$python_version" == "" ];then
+         echo "检测结果：pip不存在,请重新输入"
+       else
+         version_list=`echo "${python_list[@]}" | grep "$python_version" `
+         if [ "$version_list" != "" ];then
+           echo "检测结果：找到python${python_version}版本"
+           break
+         else
+           echo "检测结果：找不到可用的 pip, 我们只支持Python27/35/36/37及其对应的pip, 请重新输入， 或使用ctrl + c退出 "
+         fi
+       fi
+    done
+}
+
+function checkLinuxAVX(){
+  while true
+  do
+    if [[ "$AVX" != "" ]];then
+      AVX="avx"
+      break
+    else
+      if [ "$CUDA" == "8" -a "$CUDNN" == "7" ] || [ "$GPU" == "cpu" ];then
+        AVX="noavx"
+        break
+      else
+        echo "Step 6. 检测是否有avx"
+        echo
+        echo "检测结果：未能找到avx，我们仅提供CPU版本或配置为CUDA8 cuDNN7的GPU版本的安装包"
+        break
+      fi
+    fi
+  done
+}
+
+function PipLinuxInstall(){
+  wheel_cpu_release="http://paddle-wheel.bj.bcebos.com/${release_version}-${GPU}-${AVX}-${math}/paddlepaddle-${release_version}-cp${python_version}-cp${python_version}m${uncode}-linux_x86_64.whl"
+  wheel_gpu_release="http://paddle-wheel.bj.bcebos.com/${release_version}-gpu-cuda${CUDA}-cudnn${CUDNN}-${AVX}-${math}/paddlepaddle_gpu-${release_version}.post${CUDA}${CUDNN}-cp${python_version}-cp${python_version}m${uncode}-linux_x86_64.whl"
+  wheel_gpu_release_noavx="http://paddle-wheel.bj.bcebos.com/${release_version}-gpu-cuda${CUDA}-cudnn${CUDNN}-${AVX}-${math}/paddlepaddle_gpu-${release_version}-cp${python_version}-cp${python_version}m${uncode}-linux_x86_64.whl"
+  wheel_cpu_develop="http://paddle-wheel.bj.bcebos.com/latest-cpu-${AVX}-${math}/paddlepaddle-latest-cp${python_version}-cp${python_version}m${uncode}-linux_x86_64.whl"
+  wheel_gpu_develop="http://paddle-wheel.bj.bcebos.com/latest-gpu-cuda${CUDA}-cudnn${CUDNN}-${AVX}-${math}/paddlepaddle_gpu-latest-cp${python_version}-cp${python_version}m${uncode}-linux_x86_64.whl"
+
+
+  if [[ "$paddle_version" == "2" ]];then
+    if [[ "$GPU" == "gpu" ]];then
+        if [[ ${AVX} == "avx" ]];then
+          rm -rf `echo $wheel_gpu_release|awk -F '/' '{print $NF}'`
+          wget -q $wheel_gpu_release
+          if [ "$?" == "0" ];then
+            $pip_path install --user -i https://mirrors.aliyun.com/pypi/simple --trusted-host=mirrors.aliyun.com $wheel_gpu_release
+          else
+            echo "paddlepaddle whl包下载失败"
+            exit 1
+          fi
+        else
+          rm -rf `echo $wheel_gpu_release_novax|awk -F '/' '{print $NF}'`
+          wget -q $wheel_gpu_release_novax
+          if [ "$?" == "0" ];then
+            $pip_path install --user -i https://mirrors.aliyun.com/pypi/simple --trusted-host=mirrors.aliyun.com $wheel_gpu_release_noavx
+          else
+            echo "paddlepaddle whl包下载失败"
+            exit 1
+          fi
+        fi
+    else
+        rm -rf `echo $wheel_cpu_release|awk -F '/' '{print $NF}'`
+        wget -q $wheel_cpu_release
+        if [ "$?" == "0" ];then
+          $pip_path install --user -i https://mirrors.aliyun.com/pypi/simple --trusted-host=mirrors.aliyun.com $wheel_cpu_release
+        else
+          echo "paddlepaddle whl包下载失败"
+          exit 1
+        fi
+    fi
+  else
+    if [[ "$GPU" == "gpu" ]];then
+        rm -rf `echo $wheel_gpu_develop|awk -F '/' '{print $NF}'`
+        wget -q $wheel_gpu_develop
+        if [ "$?" == "0" ];then
+          $pip_path install --user -i https://mirrors.aliyun.com/pypi/simple --trusted-host=mirrors.aliyun.com $wheel_gpu_develop
+        else
+          echo "paddlepaddle whl包下载失败"
+          exit 1
+        fi
+    else
+        rm -rf `echo $wheel_cpu_develop|awk -F '/' '{print $NF}'`
+        wget -q $wheel_cpu_develop
+        if [ "$?" == "0" ];then
+          $pip_path install --user -i https://mirrors.aliyun.com/pypi/simple --trusted-host=mirrors.aliyun.com $wheel_cpu_develop
+        else
+          echo "paddlepaddle whl包下载失败"
+          exit 1
+        fi
+    fi
+  fi
+}
+
+
+function checkLinuxGPU(){
+  read -n1 -p "即将检测您的机器是否含GPU，请按回车键继续..."
+  echo
+  AVX=`cat /proc/cpuinfo |grep avx|tail -1|grep avx`
+  which nvidia-smi >/dev/null 2>&1
+  if [ "$?" != "0" ];then
+    GPU='cpu'
+    echo "未在机器上找到GPU，或PaddlePaddle暂不支持此型号的GPU"
+  else
+    GPU='gpu'
+    echo "已在您的机器上找到GPU，即将确认CUDA和CUDNN版本..."
+    echo
+  fi
+  if [ "$GPU" == 'gpu' ];then
+    checkLinuxCUDA
+    checkLinuxCUDNN
+  fi
+}
+
+function linux(){
+gpu_list=(
+"GeForce 410M"
+"GeForce 610M"
+"GeForce 705M"
+"GeForce 710M"
+"GeForce 800M"
+"GeForce 820M"
+"GeForce 830M"
+"GeForce 840M"
+"GeForce 910M"
+"GeForce 920M"
+"GeForce 930M"
+"GeForce 940M"
+"GeForce GT 415M"
+"GeForce GT 420M"
+"GeForce GT 430"
+"GeForce GT 435M"
+"GeForce GT 440"
+"GeForce GT 445M"
+"GeForce GT 520"
+"GeForce GT 520M"
+"GeForce GT 520MX"
+"GeForce GT 525M"
+"GeForce GT 540M"
+"GeForce GT 550M"
+"GeForce GT 555M"
+"GeForce GT 610"
+"GeForce GT 620"
+"GeForce GT 620M"
+"GeForce GT 625M"
+"GeForce GT 630"
+"GeForce GT 630M"
+"GeForce GT 635M"
+"GeForce GT 640"
+"GeForce GT 640 (GDDR5)"
+"GeForce GT 640M"
+"GeForce GT 640M LE"
+"GeForce GT 645M"
+"GeForce GT 650M"
+"GeForce GT 705"
+"GeForce GT 720"
+"GeForce GT 720M"
+"GeForce GT 730"
+"GeForce GT 730M"
+"GeForce GT 735M"
+"GeForce GT 740"
+"GeForce GT 740M"
+"GeForce GT 745M"
+"GeForce GT 750M"
+"GeForce GTS 450"
+"GeForce GTX 1050"
+"GeForce GTX 1060"
+"GeForce GTX 1070"
+"GeForce GTX 1080"
+"GeForce GTX 1080 Ti"
+"GeForce GTX 460"
+"GeForce GTX 460M"
+"GeForce GTX 465"
+"GeForce GTX 470"
+"GeForce GTX 470M"
+"GeForce GTX 480"
+"GeForce GTX 480M"
+"GeForce GTX 485M"
+"GeForce GTX 550 Ti"
+"GeForce GTX 560M"
+"GeForce GTX 560 Ti"
+"GeForce GTX 570"
+"GeForce GTX 570M"
+"GeForce GTX 580"
+"GeForce GTX 580M"
+"GeForce GTX 590"
+"GeForce GTX 650"
+"GeForce GTX 650 Ti"
+"GeForce GTX 650 Ti BOOST"
+"GeForce GTX 660"
+"GeForce GTX 660M"
+"GeForce GTX 660 Ti"
+"GeForce GTX 670"
+"GeForce GTX 670M"
+"GeForce GTX 670MX"
+"GeForce GTX 675M"
+"GeForce GTX 675MX"
+"GeForce GTX 680"
+"GeForce GTX 680M"
+"GeForce GTX 680MX"
+"GeForce GTX 690"
+"GeForce GTX 750"
+"GeForce GTX 750 Ti"
+"GeForce GTX 760"
+"GeForce GTX 760M"
+"GeForce GTX 765M"
+"GeForce GTX 770"
+"GeForce GTX 770M"
+"GeForce GTX 780"
+"GeForce GTX 780M"
+"GeForce GTX 780 Ti"
+"GeForce GTX 850M"
+"GeForce GTX 860M"
+"GeForce GTX 870M"
+"GeForce GTX 880M"
+"GeForce GTX 950"
+"GeForce GTX 950M"
+"GeForce GTX 960"
+"GeForce GTX 960M"
+"GeForce GTX 965M"
+"GeForce GTX 970"
+"GeForce GTX 970M"
+"GeForce GTX 980"
+"GeForce GTX 980M"
+"GeForce GTX 980 Ti"
+"GeForce GTX TITAN"
+"GeForce GTX TITAN Black"
+"GeForce GTX TITAN X"
+"GeForce GTX TITAN Z"
+"Jetson TK1"
+"Jetson TX1"
+"Jetson TX2"
+"Mobile Products"
+"NVIDIA NVS 310"
+"NVIDIA NVS 315"
+"NVIDIA NVS 510"
+"NVIDIA NVS 810"
+"NVIDIA TITAN V"
+"NVIDIA TITAN X"
+"NVIDIA TITAN Xp"
+"NVS 4200M"
+"NVS 5200M"
+"NVS 5400M"
+"Quadro 410"
+"Quadro GP100"
+"Quadro K1100M"
+"Quadro K1200"
+"Quadro K2000"
+"Quadro K2000D"
+"Quadro K2100M"
+"Quadro K2200"
+"Quadro K2200M"
+"Quadro K3100M"
+"Quadro K4000"
+"Quadro K4100M"
+"Quadro K420"
+"Quadro K4200"
+"Quadro K4200M"
+"Quadro K5000"
+"Quadro K500M"
+"Quadro K5100M"
+"Quadro K510M"
+"Quadro K5200"
+"Quadro K5200M"
+"Quadro K600"
+"Quadro K6000"
+"Quadro K6000M"
+"Quadro K610M"
+"Quadro K620"
+"Quadro K620M"
+"Quadro M1000M"
+"Quadro M1200"
+"Quadro M2000"
+"Quadro M2000M"
+"Quadro M2200"
+"Quadro M3000M"
+"Quadro M4000"
+"Quadro M4000M"
+"Quadro M5000"
+"Quadro M5000M"
+"Quadro M500M"
+"Quadro M520"
+"Quadro M5500M"
+"Quadro M6000"
+"Quadro M6000 24GB"
+"Quadro M600M"
+"Quadro M620"
+"Quadro Mobile Products"
+"Quadro P1000"
+"Quadro P2000"
+"Quadro P3000"
+"Quadro P400"
+"Quadro P4000"
+"Quadro P5000"
+"Quadro P600"
+"Quadro P6000"
+"Quadro Plex 7000"
+"Tegra K1"
+"Tegra X1"
+"Tesla C2050/C2070"
+"Tesla C2075"
+"Tesla Data Center Products"
+"Tesla K10"
+"Tesla K20"
+"Tesla K40"
+"Tesla K80"
+"Tesla M40"
+"Tesla M60"
+"Tesla P100"
+"Tesla P4"
+"Tesla P40"
+"Tesla V100")
+
+  echo "Step 2. 检测GPU型号和CUDA/cuDNN版本"
+  echo
+  checkLinuxGPU
+  echo
+  echo "Step 3. 检测数学库"
+  echo
+  checkLinuxMathLibrary
+  echo
+  echo "Step 4. 选择要安装的PaddlePaddle版本"
+  echo
+  checkLinuxPaddleVersion
+  echo
+  echo "Step 5. 检测pip版本"
+  echo
+  checkLinuxPip
+  echo
+  checkLinuxAVX
+  echo "*********************2. 开始安装*****************************"
+  PipLinuxInstall
+}
+
+function checkMacPython2(){
+    while true
+       do
+          read -p "
+                => 未能在常规路径下找到Python2，请使用ctrl+c命令退出安装程序，并使用brew或pypi.org下载安装Python2（注意Python版本不能低于2.7.15）
+                如希望自定义Python路径，请输入路径：" python_root
+          echo
+          python_version=`$python_root --version 2>&1 1>&1`
+          if [ $? == "0" ];then
+            :
+          else
+            python_version=""
+          fi
+          check_python=`echo $python_version | grep "Python 2"`
+          if [ "$python_version" == "" ] || [ "$python_root" == "/usr/bin/python" -a "$python_version" == "Python 2.7.10" ]  ;then
+               python_version=""
+          elif [ -n "$check_python" ];then
+              while true
+                do
+                  read -p "
+                => 在您的环境中找到 $python_version, 确认使用此版本请输入y；如您希望自定义Python路径请输入n。请在这里输入（y/n）并回车: " use_python
+                  echo
+                  use_python=`echo $use_python | tr 'A-Z' 'a-z'`
+                  if [ "$use_python" == "y" ]||[ "$use_python" == "" ];then
+                       use_python="y"
+                       break
+                  elif [ "$use_python" == "n" ];then
+                       python_root=""
+                       break
+                  else
+                      echo "输入错误，请重新输入(y/n)"
+                  fi
+                done
+              if [ "$use_python" == "y" ];then
+                break
+              fi
+            else
+              echo "您输入Python的不是Python2"
+              python_version=""
+            fi
+       done
+}
+
+function checkMacPython3(){
+    while true
+       do
+          read -p "
+                => 未能在常规路径下找到Python3，请使用ctrl+c命令退出安装程序，并使用brew或pypi.org下载Python3
+                如希望自定义Python路径，请输入路径：" python_root
+          python_version=`$python_root --version  2>&1 1>&1`
+          if [ $? == "0" ];then
+              :
+          else
+              python_version=""
+          fi
+          check_python=`echo $python_version | grep "Python 3"`
+          if [ "$python_version" == "" ] || [ "$python_root" == "/usr/bin/python" -a "$python_version" == "Python 2.7.10" ] ;then
+               python_version=""
+          elif [ -n "$check_python" ] ;then
+              while true
+                do
+                  read -p "
+                => 在您的环境中找到 $python_version, 确认使用此版本请输入y；如您希望自定义Python路径请输入n。请在这里输入（y/n）并回车: " use_python
+                  echo
+                  use_python=`echo $use_python | tr 'A-Z' 'a-z'`
+                  if [ "$use_python" == "y" ]||[ "$use_python" == "" ];then
+                       use_python="y"
+                       break
+                  elif [ "$use_python" == "n" ];then
+                        python_root=""
+                        break
+                  else
+                      echo "输入错误，请重新输入(y/n)"
+                  fi
+                done
+              if [ "$use_python" == "y" ];then
+                    break
+              fi
+            else
+              echo "您输入Python的不是Python3"
+              python_version=""
+            fi
+       done
+}
+
+function checkMacPaddleVersion(){
+  while true
+    do
+      read -n1 -p "Step 2. 选择PaddlePaddle的版本，请按回车键继续..."
+      echo
+      read -p "
+               1. 开发版：对应Github上develop分支，如您需要开发、或希望使用PaddlePaddle最新功能，请选用此版本
+               2. 稳定版（推荐）：如您无特殊开发需求，建议使用此版本，目前最新的版本号为 ${release_version}
+
+               => 请输入数字1或2。如输入其他字符或直接回车，将会默认选择【 2. 稳定版 】 。请在这里输入并回车：" paddle_version
+      if [ "$paddle_version" == "1" ]||[ "$paddle_version" == "2" ];then
+          echo
+          echo "您选择了数字【"$paddle_version" 】"
+          echo
+          break
+      else
+          paddle_version="2"
+          echo
+          echo "您选择了数字【2】"
+          echo
+          break
+      fi
+    done
+}
+
+function checkMacPythonVersion(){
+  while true
+    do
+       read -n1 -p "Step 3. 选择Python版本，请按回车键继续..."
+       read -p "
+               2. 使用python 2.x
+               3. 使用python 3.x
+
+                => 请输入数字2或3。如输入其他字符或直接回车，将会默认使用【Python 2 】。请在这里输入并回车：" python_V
+                echo
+       if [ "$python_V" == "" ];then
+            python_V="2"
+       fi
+       echo "您选择了数字【"$python_V"】，正在寻找符合您要求的Python版本，请按回车键继续..."
+       echo
+       if [ "$python_V" == "2" ];then
+           python_root=`which python2.7`
+           if [ "$python_root" == "" ];then
+                python_root=`which python`
+           fi
+           python_version=`$python_root --version 2>&1 1>&1`
+           if [ $? == "0" ];then
+               :
+           else
+               python_version=""
+           fi
+           if [ "$python_root" == "" ]||[ "$python_root" == "/usr/bin/python" -a "$python_version" == "Python 2.7.10" ]||[ "$python_root" == "/usr/bin/python2.7" -a "$python_version" == "Python 2.7.10" ];then
+               checkMacPython2
+           fi
+           while true
+             do
+               read -p "
+                => 在您的环境中找到 $python_version, 确认使用此版本请输入y；如您希望自定义Python路径请输入n。请在这里输入（y/n）并回车：" use_python
+               echo
+               use_python=`echo $use_python | tr 'A-Z' 'a-z'`
+               if [ "$use_python" == "y" ]||[ "$use_python" == "" ];then
+                    break
+               elif [ "$use_python" == "n" ];then
+                    python_root=""
+                    checkMacPython2
+                    break
+               else
+                    echo "输入错误，请重新输入(y/n)"
+               fi
+            done
+
+       elif [ "$python_V" == "3" ];then
+           python_root=`which python3`
+           python_version=`$python_root --version 2>&1 1>&1`
+           if [ $? == "0" ];then
+               :
+           else
+               python_version=""
+           fi
+           if [ "$python_root" == "" ]||[ "$python_root" == "/usr/bin/python" -a "$python_version" == "Python 2.7.10" ];then
+               checkMacPython3
+           fi
+           while true
+             do
+               read -p "
+                => 在您的环境中找到 $python_version, 确认使用此版本请输入y；如您希望自定义Python路径请输入n。请在这里输入（y/n）并回车：" use_python
+               echo
+               use_python=`echo $use_python | tr 'A-Z' 'a-z'`
+               if [ "$use_python" == "y" ]||[ "$use_python" == "" ];then
+                   break
+               elif [ "$use_python" == "n" ];then
+                    checkMacPython3
+                    break
+               else
+                    echo "输入错误，请重新输入(y/n)"
+               fi
+           done
+       else
+           :
+       fi
+
+
+       if [ "$python_V" == "2" ]||[ "$python_V" == "3" ];then
+           python_brief_version=`$python_root -m pip -V |awk -F "[ |)]" '{print $6}'|sed 's#\.##g'`
+           if [[ $python_brief_version == "27" ]];then
+              uncode=`python -c "import pip._internal;print(pip._internal.pep425tags.get_supported())"|grep "cp27"`
+              if [[ $uncode == "" ]];then
+                 uncode="mu"
+              else
+                 uncode="m"
+              fi
+           fi
+           version_list=`echo "${python_list[@]}" | grep "$python_brief_version" `
+           if [ "$version_list" != "" ];then
+              break
+            else
+              echo "未找到可用的pip或pip3。PaddlePaddle目前支持：Python2.7/3.5/3.6/3.7及其对应的pip, 请重新输入，或使用ctrl + c退出"
+           fi
+        else
+            echo "输入错误，请重新输入"
+        fi
+  done
+}
+
+function checkMacAVX(){
+    read -n1 -p "Step 4. 检测您的Mac是否支持AVX指令集，请按回车键继续..."
+    echo
+    if [[ $AVX != "" ]];then
+        AVX="avx"
+        echo "检测结果：支持"
+    else
+        read -n1 -p "检测结果：不支持。非常抱歉，PaddlePaddle在Mac系统暂不提供no_avx类型的安装包，您可以选择在Linux系统中安装no_avx版的PaddlePaddle, 请按回车键退出..."
+        exit
+    fi
+    echo
+}
+
+function checkMacGPU(){
+    read -n1 -p "Step 5. 选择CPU/GPU版本，请按回车键继续..."
+    echo
+    if [[ $GPU != "" ]];then
+        echo "MacOS环境下，暂未提供GPU版本的PaddlePaddle安装包，将为您安装CPU版本的PaddlePaddle"
+    else
+        echo "MacOS环境下，暂未提供GPU版本的PaddlePaddle安装包，将为您安装CPU版本的PaddlePaddle"
+        GPU=cpu
+    fi
+    echo
+}
+
+function macos() {
+  path='http://paddlepaddle.org/download?url='
+  AVX=`sysctl -a | grep cpu | grep AVX1.0 | tail -1 | grep AVX`
+
+  while true
+      do
+        checkMacPaddleVersion
+        checkMacPythonVersion
+        checkMacAVX
+        checkMacGPU
+
+
+        echo "*********************2. 开始安装*****************************"
+        echo
+        read -n1 -p "即将为您下载并安装PaddlePaddle，请按回车键继续..."
+        echo
+        if [[ $paddle_version == "2" ]];then
+            $python_root -m pip install paddlepaddle
+            if [ $? == "0" ];then
+               echo "安装成功，可以使用: ${python_root} 来启动安装了PaddlePaddle的Python解释器"
+               break
+            else
+               rm  $whl_cpu_release
+               echo "未能正常安装PaddlePaddle，请尝试更换您输入的python路径，或者ctrl + c退出后请检查您使用的python对应的pip或pip源是否可用"
+               echo""
+               echo "=========================================================================================="
+               echo""
+               exit 1
+            fi
+        else
+            if [ -f $whl_cpu_develop ];then
+                $python_root -m pip install $whl_cpu_develop
+                if [ $? == "0" ];then
+                   rm -rf $whl_cpu_develop
+                   echo "安装成功！小提示：可以使用: ${python_root} 来启动安装了PaddlePaddle的Python解释器"
+                   break
+                else
+                   echo "未能正常安装PaddlePaddle，请尝试更换您输入的python路径，或者ctrl + c退出后请检查您使用的python对应的pip或pip源是否可用"
+                   echo""
+                   echo "=========================================================================================="
+                   echo""
+                   exit 1
+                fi
+            else
+                wget ${path}$whl_cpu_develop -O $whl_cpu_develop
+                if [ $? == "0" ];then
+                    $python_root -m pip install $whl_cpu_develop
+                    if [ $? == "0" ];then
+                       rm  $wheel_cpu_develop
+                       echo "安装成功，可以使用: ${python_root} 来启动安装了PaddlePaddle的Python解释器"
+                       break
+                    else
+                       rm  $whl_cpu_release
+                       echo "未能正常安装PaddlePaddle，请尝试更换您输入的python路径，或者ctrl + c退出后请检查您使用的python对应的pip或pip源是否可用"
+                       echo""
+                       echo "=========================================================================================="
+                       echo""
+                       exit 1
+                    fi
+                else
+                      rm  $whl_cpu_develop
+                      echo "未能正常安装PaddlePaddle，请检查您的网络 或者确认您是否安装有 wget，或者ctrl + c退出后反馈至https://github.com/PaddlePaddle/Paddle/issues"
+                      echo""
+                      echo "=========================================================================================="
+                      echo""
+                      exit 1
+                fi
+            fi
+        fi
+  done
+}
+
+function main() {
+  echo "*********************************"
+  echo "欢迎使用PaddlePaddle快速安装脚本"
+  echo "*********************************"
+  echo
+  echo "如果您在安装过程中遇到任何问题，请在https://github.com/PaddlePaddle/Paddle/issues反馈，我们的工作人员将会帮您答疑解惑"
+  echo
+  echo "本安装包将帮助您在Linux或Mac系统下安装PaddlePaddle，包括 1）安装前的准备和 2）开始安装 两部分"
+  echo
+  read -n1 -p "请按回车键进行下一步..."
+  echo
+  echo
+  echo "*********************1. 安装前的准备*****************************"
+  echo
+  echo "Step 1. 正在检测您的操作系统信息..."
+  echo
+  SYSTEM=`uname -s`
+  if [ "$SYSTEM" == "Darwin" ];then
+  	echo "您的系统为：MAC OSX"
+    echo
+  	macos
+  else
+ 	echo "您的系统为：Linux"
+  echo
+	  OS=`cat /etc/issue|awk 'NR==1 {print $1}'`
+	  if [ $OS == "\S" ] || [ "$OS" == "CentOS" ] || [ $OS == "Ubuntu" ];then
+	    linux
+	  else
+	    echo "您的系统不在本安装包的支持范围，如您需要在windows环境下安装PaddlePaddle，请您参考PaddlePaddle官网的windows安装文档"
+	  fi
+  fi
+}
+main