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fast_install.sh
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#!/bin/bash
## purple to echo
function purple(){
echo -e "\033[35m$1\033[0m"
}
## green to echo
function green(){
echo -e "\033[32m$1\033[0m"
}
## Error to warning with blink
function bred(){
echo -e "\033[31m\033[01m\033[05m$1\033[0m"
}
## Error to warning with blink
function byellow(){
echo -e "\033[33m\033[01m\033[05m$1\033[0m"
}
## Error
function red(){
echo -e "\033[31m\033[01m$1\033[0m"
}
## warning
function yellow(){
echo -e "\033[33m\033[01m$1\033[0m"
}
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`
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
if [ -f "/usr/local/cuda10/version.txt" ];then
CUDA=`cat /usr/local/cuda10/version.txt | grep 'CUDA Version'|awk -F '[ .]' '{print $3}'`
tmp_cuda10=$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 $tmp_cuda9"
fi
if [ "$tmp_cuda10" != "" ];then
echo "检测结果:找到CUDA $tmp_cuda10"
fi
if [ "$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" ] || [ "$CUDA" == "9" ] || [ "$CUDA" == "10" ];then
echo "您的CUDA版本是${CUDA}"
break
else
echo "目前支持CUDA8/9/10,暂不支持您的CUDA${CUDA},将为您安装CPU版本的PaddlePaddle"
echo
use_cpu
fi
if [ "$GPU" == "cpu" ];then
break
fi
done
}
function checkLinuxMathLibrary(){
while true
do
if [ "$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="2"
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 checkPythonVirtualenv(){
while true
do
read -p "
是否使用python virtualenv虚环境安装(y/n)": check_virtualenv
case $check_virtualenv in
y)
echo "为您使用python虚环境安装"
;;
n)
break
;;
*)
continue
;;
esac
virtualenv_path=`which virtualenv 2>&1`
if [ "$virtualenv_path" == "" ];then
$python_path -m pip install virtualenv
if [ "$?" != '0' ];then
echo "安装虚拟环境失败,请检查本地环境"
fi
fi
while true
do
read -p "请输入虚拟环境名字:" virtualenv_name
if [ "$virtualenv_name" == "" ];then
echo "不能为空"
continue
fi
break
done
virtualenv -p $python_path ${virtualenv_name}
if [ "$?" != 0 ];then
echo "创建虚环境失败,请检查环境"
exit 2
fi
cd ${virtualenv_name}
source ./bin/activate
if [ "$?" == 0 ];then
use_virtualenv=
python_path=`which python`
break
else
echo "创建虚环境失败,请检查环境"
exit 2
fi
done
}
function checkLinuxPython(){
python_path=`which python 2>/dev/null`
while true
do
if [ "$python_path" == '' ];then
while true
do
read -p "没有找到默认的python版本,请输入要安装的python路径:" python_path
python_path=`$python_path -V 2>&1` #add 2>&1
if [ "$python_path" != "" ];then
break
else
echo "输入路径有误,未找到pyrhon"
fi
done
fi
python_version=`$python_path -V 2>&1|awk -F '[ .]' '{print $2$3}'`
pip_version=`$python_path -m pip -V|awk -F '[ .]' '{print $2}'`
while true
do
read -p "
找到python版本$python_version,使用请输入y,选择其他版本请输n(y/n):" check_python
case $check_python in
n)
read -p "请指定您的python路径:" new_python_path
python_V=`$new_python_path -V 2>&1` # 2>/dev/null --> 2>&1
if [ "$python_V" != "" ];then
python_path=$new_python_path
python_version=`$python_path -V 2>&1|awk -F '[ .]' 'NR==1{print $2$3}'`
echo $python_path
pip_version=`$python_path -m pip -V|awk -F '[ .]' 'NR==1{print $2}'`
echo "您的python版本为${python_version}"
break
else
echo 输入有误,未找到python路径
fi
;;
y)
break
;;
*)
echo "输入有误,请重新输入."
continue
;;
esac
done
if [ "$pip_version" -lt 10 ];then
echo "您的pip版本小于9.0.1 请升级pip (pip install --upgrade pip)"
exit 0
fi
if [ "$python_version" == "27" ];then
python_version_all=`$python_path -V 2>&1|awk -F '[ .]' '{print $4}'`
if [[ $python_version_all -le 15 ]];then
echo "Python2版本小于2.7.15,请更新Python2版本或使用Python3"
exit 0
fi
uncode=`$python_path -c "import pip._internal;print(pip._internal.pep425tags.get_supported())"|grep "cp27mu"`
if [[ "$uncode" == "" ]];then
uncode=
else
uncode=u
fi
fi
version_list=`echo "${python_list[@]}" | grep "$python_version" `
if [ "$version_list" == "" ];then
echo "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 "
else
break
fi
done
}
function PipLinuxInstall(){
wheel_cpu_release="http://paddle-wheel.bj.bcebos.com/${release_version}-${GPU}-${math}/paddlepaddle-${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}-${math}/paddlepaddle_gpu-${release_version}.post${CUDA}${CUDNN}-cp${python_version}-cp${python_version}m${uncode}-linux_x86_64.whl"
wheel_cpu_develop="http://paddle-wheel.bj.bcebos.com/0.0.0-cpu-${math}/paddlepaddle-0.0.0-cp${python_version}-cp${python_version}m${uncode}-linux_x86_64.whl"
wheel_gpu_develop="http://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda${CUDA}-cudnn${CUDNN}-${math}/paddlepaddle_gpu-0.0.0-cp${python_version}-cp${python_version}m${uncode}-linux_x86_64.whl"
if [[ "$paddle_version" == "2" ]];then
if [[ "$GPU" == "gpu" ]];then
rm -rf `echo $wheel_cpu_release|awk -F '/' '{print $NF}'`
echo $wheel_gpu_release
wget -q $wheel_gpu_release
if [ "$?" == "0" ];then
$python_path -m pip install -U ${use_virtualenv} -i https://mirrors.aliyun.com/pypi/simple --trusted-host=mirrors.aliyun.com $wheel_gpu_release
if [ "$?" == 0 ];then
echo 安装成功
exit 0
else
echo 安装失败
exit 1
fi
else
echo paddlepaddle whl包下载失败
echo "wget err: $wheel_gpu_release"
exit 1
fi
else
echo $wheel_cpu_release
rm -rf `echo $wheel_cpu_release|awk -F '/' '{print $NF}'`
wget -q $wheel_cpu_release
if [ "$?" == "0" ];then
$python_path -m pip install -U ${use_virtualenv} -i https://mirrors.aliyun.com/pypi/simple --trusted-host=mirrors.aliyun.com $wheel_cpu_release
if [ "$?" == 0 ];then
echo 安装成功
exit 0
else
echo 安装失败
exit 1
fi
else
echo paddlepaddle whl包下载失败
echo "wget err: $wheel_cpu_release"
exit 1
fi
fi
fi
if [[ "$GPU" == "gpu" ]];then
echo $wheel_gpu_develop
rm -rf `echo $wheel_gpu_develop|awk -F '/' '{print $NF}'`
wget -q $wheel_gpu_develop
if [ "$?" == "0" ];then
echo $python_path,111
$python_path -m pip install -U ${use_virtualenv} -i https://mirrors.aliyun.com/pypi/simple --trusted-host=mirrors.aliyun.com $wheel_gpu_develop
if [ "$?" == 0 ];then
echo 安装成功
exit 0
else
echo 安装失败
exit 1
fi
else
echo paddlepaddle whl包下载失败
echo "wget err: $wheel_gpu_develop"
exit 1
fi
else
echo $wheel_cpu_develop
rm -rf `echo $wheel_cpu_develop|awk -F '/' '{print $NF}'`
wget -q $wheel_cpu_develop
if [ "$?" == "0" ];then
$python_path -m pip install -U ${use_virtualenv} -i https://mirrors.aliyun.com/pypi/simple --trusted-host=mirrors.aliyun.com $wheel_cpu_develop
if [ "$?" == 0 ];then
echo 安装成功
exit 0
else
echo 安装失败
exit 1
fi
else
echo paddlepaddle whl包下载失败
echo "wget err: $wheel_cpu_develop"
exit 1
fi
fi
}
function checkLinuxGPU(){
read -n1 -p "即将检测您的机器是否含GPU,请按回车键继续..."
echo
which nvidia-smi >/dev/null 2>&1
if [ "$?" != "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
checkLinuxPython
echo
echo "Step 6.是否使用Python的虚拟环境"
use_virtualenv="--user"
checkPythonVirtualenv
echo "*********************2. 开始安装*****************************"
PipLinuxInstall
if [ "$check_virtualenv" == 'y' ];then
echo "虚环境创建成功,请cd 进入${virtualenv_name}, 执行 source bin/activate 进入虚环境。退出虚环境执行 deactivate命令。
更多虚环境使用方法请参考virtualenv官网:https://virtualenv.pypa.io/en/latest/"
fi
}
function clearMacPythonEnv(){
python_version=""
python_brief_version=""
python_root=""
}
function checkMacPython2(){
while true
do
python_min="2.7.15"
python_version=`$python_root --version 2>&1 1>&1`
if [[ $? == "0" ]];then
if [ "$python_version" == "" ] || ( [ "$python_root" == "/usr/bin/python" ] && ( [ "$python_version" \< "$python_min" ] || ( [ "$python_version" \> "$python_min" ] && [ ${#python_version} -lt ${#python_min} ] ) ) );then
clearMacPythonEnv
elif [[ "$python_version" < "2.7.15" ]];then
echo -e " => 在您的环境中找到 \033[32m[ $python_version ]\033[0m,此版本小于2.7.15不建议使用,请选择其他版本."
exit
else
check_python=`echo $python_version | grep "Python 2"`
if [[ -n "$check_python" ]];then
while true
do
echo -e " => 在您的环境中找到 \033[32m[ $python_version ]\033[0m, 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: "
read -p "" 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
clearMacPythonEnv
break
else
red " 输入错误,请重新输入(y/n)"
fi
done
if [[ "$use_python" == "y" ]];then
return 0
fi
else
red " 您输入Python的不是Python2"
clearMacPythonEnv
fi
fi
else
clearMacPythonEnv
red " => 未能在常规路径下找到可用的Python2,请使用ctrl+c命令退出安装程序,并使用brew或pypi.org下载安装Python2(注意Python版本不能低于2.7.15)"
read -p " 如希望自定义Python路径,请输入路径
如果希望重新选择Python版本,请回车:" python_root
echo
if [[ "$python_root" == "" ]];then
python_V=""
clearMacPythonEnv
return 1
fi
fi
done
}
function checkMacPython3(){
while true
do
python_min="2.7.15"
python_version=`$python_root --version 2>&1 1>&1`
if [[ $? == "0" ]];then
if [ "$python_version" == "" ] || ( [ "$python_root" == "/usr/bin/python" ] && ( [ "$python_version" \< "$python_min" ] || ( [ "$python_version" \> "$python_min" ] && [ ${#python_version} -lt ${#python_min} ] ) ) );then
clearMacPythonEnv
else
check_python=`echo $python_version | grep "Python 3"`
if [[ -n "$check_python" ]];then
while true
do
echo -e " => 在您的环境中找到 \033[32m[ $python_version ]\033[0m, 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: "
read -p "" 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
clearMacPythonEnv
break
else
red " 输入错误,请重新输入(y/n)"
fi
done
if [[ "$use_python" == "y" ]];then
return 0
fi
else
red " 您输入Python的不是Python3"
clearMacPythonEnv
fi
fi
else
clearMacPythonEnv
red " => 未能在常规路径下找到可用的Python3,请使用ctrl+c命令退出安装程序,并使用brew或pypi.org下载安装Python3(注意Python版本不能低于3.5.x)"
read -p " 如希望自定义Python路径,请输入路径
如果希望重新选择Python版本,请回车:" python_root
echo
if [[ "$python_root" == "" ]];then
python_V=""
clearMacPythonEnv
return 1
fi
fi
done
}
function checkMacPaddleVersion(){
echo
yellow " 目前PaddlePaddle在MacOS环境下只提供稳定版,最新的版本号为 ${release_version}"
echo
paddle_version="2"
echo
yellow " 我们将会为您安装PaddlePaddle稳定版,请按回车键继续... "
read -n1 -p ""
echo
}
function initCheckMacPython2(){
echo
yellow " 您选择了Python "$python_V",正在寻找符合要求的Python 2版本"
echo
python_root=`which python2.7`
if [[ "$python_root" == "" ]];then
python_root=`which python`
fi
checkMacPython2
if [[ "$?" == "1" ]];then
return 1
else
return 0
fi
}
function initCheckMacPython3(){
echo
yellow " 您选择了Python "$python_V",正在寻找符合您要求的Python 3版本"
echo
python_root=`which python3`
checkMacPython3
if [[ "$?" == "1" ]];then
return 1
else
return 0
fi
}
function checkMacPip(){
if [[ "$python_V" == "2" ]]||[[ "$python_V" == "3" ]];then
python_brief_version=`$python_root -m pip -V |awk -F "[ |)]" '{print $6}'|sed 's#\.##g'`
if [[ ${python_brief_version} == "" ]];then
red "您输入的python:${python_root} 对应的pip不可用,请检查此pip或重新选择其他python"
echo
return 1
fi
pip_version=`$python_root -m pip -V |awk -F '[ .]' '{print $2}'`
if [[ 9 -le ${pip_version} ]];then
:
else
red "您的pip版本过低,请安装pip 9.0.1及以上的版本"
echo
return 1
fi
if [[ "$python_brief_version" == "" ]];then
clearMacPythonEnv
red "您的 $python_root 对应的pip存在问题,请按ctrl + c退出后重新安装pip,或切换其他python版本"
echo
return 1
else
if [[ $python_brief_version == "27" ]];then
uncode=`$python_root -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
return 0
else
red "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"
echo
clearMacPythonEnv
return 1
fi
fi
fi
}
function checkMacPythonVersion(){
while true
do
read -n1 -p "Step 3. 选择Python版本,请按回车键继续..."
echo
yellow " 2. 使用python 2.x"
yellow " 3. 使用python 3.x"
read -p " => 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
if [[ "$python_V" == "" ]];then
python_V="2"
fi
if [[ "$python_V" == "2" ]];then
initCheckMacPython2
if [[ "$?" == "0" ]];then
checkMacPip
if [[ "$?" == "0" ]];then
return 0
else
:
fi
else
:
fi
elif [[ "$python_V" == "3" ]];then
initCheckMacPython3
if [[ "$?" == "0" ]];then
checkMacPip
if [[ "$?" == "0" ]];then
return 0
else
:
fi
else
:
fi
else
red "输入错误,请重新输入"
fi
done
}
function checkMacGPU(){
read -n1 -p "Step 5. 选择CPU/GPU版本,请按回车键继续..."
echo
if [[ $GPU != "" ]];then
yellow " 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
yellow " 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='
while true
do
checkMacPaddleVersion
checkMacPythonVersion
checkMacGPU
green "*********************2. 开始安装*****************************"
echo
yellow "即将为您下载并安装PaddlePaddle,请按回车键继续..."
read -n1 -p ""
if [[ $paddle_version == "2" ]];then
$python_root -m pip install -U paddlepaddle
if [[ $? == "0" ]];then
green "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
red "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""