四、Docker容器安装Anaconda（Ubuntu 16.04）

应用场景

• Docker中使用anaconda管理python环境

1. 创建容器并启动

junli@ubuntu16:~$ docker images
REPOSITORY    TAG                            IMAGE ID       CREATED         SIZE
nvidia/cuda   8.0-cudnn6-devel-ubuntu16.04   d57da4f50cd1   10 months ago   2.01GB
junli@ubuntu16:~$ 
junli@ubuntu16:~$ nvidia-docker run -i -d --net GJLDockerNetBridge --ip 192.168.120.× --name anaconda -v /home/junli/GJLImages/anaconda/:/home/GJL/ nvidia/cuda:8.0-cudnn6-devel-ubuntu16.04 /bin/bash
9f717fd87a22defd49db02d4f1fc4114bf004a4845be57ccc85d0bce386da9dc
junli@ubuntu16:~$ 
junli@ubuntu16:~$ docker ps -a
CONTAINER ID   IMAGE                                      COMMAND       CREATED         STATUS                       PORTS     NAMES
9f717fd87a22   nvidia/cuda:8.0-cudnn6-devel-ubuntu16.04   "/bin/bash"   8 seconds ago   Up 6 seconds                           anaconda
junli@ubuntu16:~$ 
junli@ubuntu16:~$ docker exec -it anaconda /bin/bash
root@9f717fd87a22:/# 
root@9f717fd87a22:/# nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2016 NVIDIA Corporation
Built on Tue_Jan_10_13:22:03_CST_2017
Cuda compilation tools, release 8.0, V8.0.61
root@9f717fd87a22:/# nvidia-smi
Thu Aug  4 05:38:18 2022       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 450.57       Driver Version: 450.57       CUDA Version: 11.0     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  GeForce 940MX       Off  | 00000000:3C:00.0 Off |                  N/A |
| N/A   40C    P0    N/A /  N/A |      0MiB /  2004MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+
root@9f717fd87a22:/# 

2. 下载并安装

## 在本地下载好，直接上传到docker
junli@ubuntu16:~$ docker cp /home/junli/下载/Anaconda2-4.4.0-Linux-x86_64.sh anaconda:/home/GJL/
junli@ubuntu16:~$ docker exec -it anaconda /bin/bash
root@edb904c9b7b7:/# cd /home/GJL
root@edb904c9b7b7:/home/GJL# bash Anaconda2-4.3.1-Linux-x86_64.sh

Welcome to Anaconda2 4.4.0 (by Continuum Analytics, Inc.)

In order to continue the installation process, please review the license
agreement.
Please, press ENTER to continue
>>> 
===================================
Anaconda End User License Agreement
===================================

Copyright 2017, Continuum Analytics, Inc.
......此处省略

Do you approve the license terms? [yes|no]
>>> yes

Anaconda2 will now be installed into this location:
/root/anaconda2

  - Press ENTER to confirm the location
  - Press CTRL-C to abort the installation
  - Or specify a different location below

[/root/anaconda2] >>> 
PREFIX=/root/anaconda2
installing: python-2.7.13-0 ...
......此处省略

installation finished.
Do you wish the installer to prepend the Anaconda2 install location
to PATH in your /root/.bashrc ? [yes|no]
[no] >>> yes

Prepending PATH=/root/anaconda2/bin to PATH in /root/.bashrc
A backup will be made to: /root/.bashrc-anaconda2.bak

root@9f717fd87a22:/home/GJL# source /root/.bashrc
root@9f717fd87a22:/home/GJL# conda info
Current conda install:

               platform : linux-64
          conda version : 4.3.21
       conda is private : False
      conda-env version : 4.3.21
    conda-build version : not installed
         python version : 2.7.13.final.0
       requests version : 2.14.2
       root environment : /root/anaconda2  (writable)
    default environment : /root/anaconda2
       envs directories : /root/anaconda2/envs
                          /root/.conda/envs
          package cache : /root/anaconda2/pkgs
                          /root/.conda/pkgs
           channel URLs : https://repo.continuum.io/pkgs/free/linux-64
                          https://repo.continuum.io/pkgs/free/noarch
                          https://repo.continuum.io/pkgs/r/linux-64
                          https://repo.continuum.io/pkgs/r/noarch
                          https://repo.continuum.io/pkgs/pro/linux-64
                          https://repo.continuum.io/pkgs/pro/noarch
            config file : None
             netrc file : None
           offline mode : False
             user-agent : conda/4.3.21 requests/2.14.2 CPython/2.7.13 Linux/4.15.0-142-generic debian/stretch/sid glibc/2.23    
                UID:GID : 0:0
root@9f717fd87a22:/home/GJL# conda env list
# conda environments:
#
root                  *  /root/anaconda2

root@9f717fd87a22:/home/GJL#

注意：安装成功后，需要 source /root/.bashrc 使文件生效。