Linux下安装tensorflow

墨蓝 2023-07-19 12:04 101阅读 0赞

## 环境准备 ##

下载anaconda， [https://repo.anaconda.com/archive/Anaconda3-2019.10-Linux-x86\_64.sh][https_repo.anaconda.com_archive_Anaconda3-2019.10-Linux-x86_64.sh]

## 安装 ##

[root@localhost ~]# wget https://repo.anaconda.com/archive/Anaconda3-2019.10-Linux-x86_64.sh
    [root@localhost ~]#  bash Anaconda3-2019.10-Linux-x86_64.sh

以上信息提示，都进行按ENTER，输入yes操作。

## 配置jupyter环境 ##

[root@localhost ~]#   source /root/.bashrc

#### 查看conda版本 ####

[root@localhost ~]#   conda --version

#### 配置jupyter notebook ####

[root@localhost ~]#    cd /root/anaconda3/etc/jupyter
    (base) [root@localhost jupyter]#   jupyter notebook --generate-config

#### 设置置jupyter notebook的登录密码 ####

(base) [root@localhost data]# python
    Python 3.7.4 (default, Aug 13 2019, 20:35:49) 
    [GCC 7.3.0] :: Anaconda, Inc. on linux
    Type "help", "copyright", "credits" or "license" for more information.
    >>> from notebook.auth import passwd
    >>> passwd()
    Enter password: 
    Verify password: 
    'sha1:fc48ba43d994:264211bcd15748509d8711bfede4ae330d208641'
    >>> exit()
    
     'sha1:fc48ba43d994:264211bcd15748509d8711bfede4ae330d208641'密码后续需要。

#### 修改jupyter notebook的文件设置 ####

(base) [root@localhost data]#  cd /root/.jupyter/
    (base) [root@localhost .jupyter]#  ls
    (base) [root@localhost .jupyter]# vim jupyter_notebook_config.py

#### 修改登录配置 ####

c.NotebookApp.ip = 'ip'  # 允许访问此服务器的 IP，星号表示任意 IP
    c.NotebookApp.password = u'sha1:fc48ba43d994:264211bcd15748509d8711bfede4ae330d208641' # 之前生成的密码字串
    c.NotebookApp.open_browser = False # 运行时不打开本机浏览器
    c.NotebookApp.port = 8888 # 使用的端口
    c.NotebookApp.enable_mathjax = True # 启用 MathJax
    c.NotebookApp.notebook_dir = '/root/jupyter'      # 存放文件的目录
    c.NotebookApp.allow_remote_access = True     # 允许远程访问

#### 启动 jupyter notebook ####

jupyter notebook --allow-root

#### 开启linux防火墙，运行远程访问 ####

查看防火墙状态

(base) [root@localhost ~]#systemctl status firewalld.service  #查看防火墙状态
    (base) [root@localhost ~]#systemctl stop firewalld.service   #关闭运行的防火墙
    (base) [root@localhost ~]#systemctl status firewalld.service  #查看防火墙状态可以看到

使用ip和设置的密码进行登录

## jupyter安装tensorflow ##

登录jupyter后pip安装

pip install keras tensorflow==2.0.0 -i https://pypi.tuna.tsinghua.edu.cn/simple/ --default-timeout=100

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[https_repo.anaconda.com_archive_Anaconda3-2019.10-Linux-x86_64.sh]: https://repo.anaconda.com/archive/Anaconda3-2019.10-Linux-x86_64.sh
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3RhbmRlbGlu_size_16_color_FFFFFF_t_70]: /images/20230528/db7127a13b0747f48c93683a72f91813.png