Ubuntu 16.04 系統(tǒng)安裝 and Tensorflow-gpu and CUDA and CUDNN

制作16.04 系統(tǒng)安裝U盤(pán)(使用Rufus 3.4制作Ubuntu 18.04.1 U盤(pán)啟動(dòng)盤(pán)的方法)

https://ywnz.com/linuxjc/3978.html

1?安裝16.04

https://blog.csdn.net/zhengchaooo/article/details/79500209

安裝過(guò)程中如果出現(xiàn)CD-ROM讀取不到?可以將U盤(pán)拔出再插上?然后再重復(fù)一次讀取CD-ROM的操作(奇怪的現(xiàn)象)

2 16.04?安裝的是python?是2.7?和 3.5

3?替換python版本?為python3.6


操作:

參考步驟https://www.cnblogs.com/gaowengang/p/7736672.html

http://www.cnblogs.com/yqpy/p/9116590.html

1、打開(kāi)終端

首先創(chuàng)建安裝目錄,

sudo mkdir /usr/local/python3

2、然后下載安裝包,解壓,并且進(jìn)入

wget --no-check-certificate https://www.python.org/ftp/python/3.6.5/Python-3.6.5.tgz

tar -xzvf Python-3.6.5.tgz

cd Python-3.6.5

3、接著編譯安裝

sudo ./configure --prefix=/usr/local/python3

sudo make

sudo make install

如果第一步編譯的時(shí)候出現(xiàn)了報(bào)錯(cuò),則試試

sudo apt-get install build-essential

4、創(chuàng)建python3的鏈接

sudo ln -s /usr/local/python3/bin/python3 /usr/bin/python3

問(wèn)題1

ln: failed to create symbolic link '/usr/bin/python3': File exists

說(shuō)明已經(jīng)有鏈接鏈到 /usr/bin/python上了,刪除即可,使用命令

rm -rf /usr/bin/python3

問(wèn)題2

zipimport.ZipImportError: can't decompress data; zlib not available

(1)先安裝系統(tǒng)相應(yīng)的依賴(lài)庫(kù)文件

?sudo apt-get install zlibc zlib1g-dev

然后重新編譯安裝

https://zhoujianghai.iteye.com/blog/1521993


python3.6.3 安裝:

tar -zxvf Python-3.6.3.tgz

cd Python-3.6.3

./configure

make

make altinstall

?`make altinstall` , 報(bào)錯(cuò):?

zipimport.ZipImportError: can't decompress data; zlib not available

解決:

cd Modules/zlib

./configure

make install

cd -

make altinstall

https://blog.csdn.net/jaket5219999/article/details/78583604


問(wèn)題3

Ubuntu下“pip is configured with locations that require TLS/SSL, however the ssl module in Python is not available.”

sudo apt-get install python3-dev libffi-dev libssl-dev

wget https://www.python.org/ftp/python/3.6.0/Python-3.6.0.tgz?

tar xvf Python-3.6.0.tgz

cd Python-3.6.0

./configure --enable-optimizations???--prefix=/usr/local/python3

make -j8?

sudo make altinstall

python3.6

ubuntu16.04中將python3設(shè)置為默認(rèn)

直接執(zhí)行這兩個(gè)命令即可:

sudo?update-alternatives --install /usr/bin/python python /usr/bin/python2 100

sudo update-alternatives --install /usr/bin/python python /usr/bin/python3 150

Ubuntu下pip3的安裝、升級(jí)、卸載

安裝

sudo apt-get install python3-pip

升級(jí)

sudo pip3 install --upgrade pip

卸載

sudo apt-get remove python3-pi

http://www.lxins.com/2017/08/03/ubuntu%E4%B8%8Bpip-is-configured-with-locations-that-require-tlsssl-however-the-ssl-module-in-python-is-not-available/


安裝

pip3 install tensorflow-gpu==1.10 -i http://pypi.douban.com/simple/ --trusted-host pypi.douban.com --user


4 Linux?裝好后需要相互拷貝文件?可以在windows?上新建共享文件夾?然后在ubuntu?上掛載

掛載windows?共享文件夾?mount?-t?cifs?//192.168.1.111/Share?./windows?-o?username=***,password=*****,vers=2.0


5 CUDA 9.0

https://developer.nvidia.com/cuda-90-download-archive?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1604&target_type=runfilelocal

https://blog.csdn.net/wanzhen4330/article/details/81699769

https://developer.download.nvidia.cn/compute/cuda/9.0/Prod/docs/sidebar/CUDA_Quick_Start_Guide.pdf

6?安裝CUDnn

https://developer.nvidia.com/rdp/cudnn-download

https://medium.com/beesightsoft/install-tensorflow-gpu-pytorch-on-ubuntu-18-04-dell-t1700-3e66bcab07a6

# Install

sudo dpkg -i libcudnn7_7.4.2.24-1+cuda9.0_amd64.deb

sudo dpkg -i libcudnn7-dev_7.4.2.24-1+cuda9.0_amd64.deb

sudo dpkg -i libcudnn7-doc_7.4.2.24-1+cuda9.0_amd64.deb


7 pip安裝whl文件

?pip install some.whl

8?運(yùn)行實(shí)例

https://blog.csdn.net/qq_29893385/article/details/82084108

問(wèn)題

ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory

https://blog.csdn.net/qq_34374211/article/details/81018320

sudo vim ~/.bashrc

在末尾加入:

export PATH=/usr/local/cuda/bin${PATH:+:${PATH}}

export LD_LIBRARY_PATH=/usr/local/cuda/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

export CUDA_HOME=/usr/local/cuda

source ~/.bashrc

發(fā)現(xiàn)此時(shí)import tensorflow還是報(bào)一樣的錯(cuò)誤,所以進(jìn)行步驟二

步驟二

檢查 /usr/local/cuda-9.0/lib64 下是否有 libcublas.so.9.0

如果有,終端輸入:

sudo ldconfig /usr/local/cuda-9.0/lib64

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