PyTorch深度学习入门笔记（一）PyTorch环境配置及安装

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<p>@</p><p></p>
<p><strong>OS：</strong> ubuntu 20.04（虚拟机）</p>
<h1 id="一工具安装">一、工具安装</h1>
<h2 id="11-anaconda-安装">1.1 Anaconda 安装</h2>
& C7 B& G( J5 x& @, m+ e4 U/ F0 `. Q) y' X<p>首先安装Anaconda ,我是去<a  href="https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/">清华大学镜像站</a>下载，版本为<br>
& d* v: B4 g: }5 o2 l7 C<code>Anaconda3-5.2.0-Linux-x86_64.sh</code><br>
参考<a  href="https://blog.csdn.net/m0_50117360/article/details/108403586?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522164187185416780357286476%2522%252C%2522scm%2522%253A%252220140713.130102334..%2522%257D&request_id=164187185416780357286476&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~all~top_positive~default-1-108403586.pc_search_insert_ulrmf&utm_term=ubuntu20.04%E5%AE%89%E8%A3%85anaconda&spm=1018.2226.3001.4187">这篇CSDN博客</a>安装好。<br>
% Q) W1 d) `5 I( j$ n0 t/ n安装成功测试：<br>
$ k5 Z& M1 o3 Q! g. }2 @, ?; J$ o<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102427806-11701860.png" ><br>
首先创建一个虚拟环境：</p>
3 d$ a( N6 l9 S8 w. h<pre><code class="language-c">conda create -n pytorch python=3.6
</code></pre>
, F, M8 H- n* S" z/ u: ]) m0 U<p><img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102428555-1044758357.png" ><br>
输入</p>
<pre><code class="language-c">source activate pytorch
</code></pre>
" g- G' C3 n- l- K! y<p>激活环境</p>
<h2 id="12-pytorch安装">1.2 Pytorch安装</h2>
- L& M1 o& ~: _<p>进入<a  href="https://pytorch.org/get-started/locally/">官网</a>,选择合适版本安装，因为我是用的ubuntu20.04虚拟机，不支持CUDA，所以选择了CPU：<br>
* u; |3 J' B1 H" {+ d; g<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102429086-588112728.png" ></p>
<p>选择合适版本并复制Run this Command:即可进行安装(不推荐使用方法，因为下载速度很慢)。<br>
+ e, @6 i" i- ~3 u+ w1 ~* z安装过程可能比较缓慢，可以用以下命令（推荐）‘</p>
" r; r7 ^6 l/ {- S; I) h<pre><code class="language-c">pip3 --default-timeout=1000 install --index-url https://mirrors.aliyun.com/pypi/simple torch==1.10.1+cpu torchvision==0.11.2+cpu torchaudio==0.10.1+cpu -f https://download.pytorch.org/whl/cpu/torch_stable.html
</code></pre>
<p>注意：先进入所创建的 Pytorch虚拟环境，再输入指令进行安装。<br>
<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102429678-1764231985.png" ><br>
( Y8 F* z$ T$ t3 d安装好后进行测试：<br>
# X" i& ~7 o1 [* {- ?<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102430213-1770020069.png" ></p>
" @2 Z0 X7 G/ w) D7 L; K9 c<h1 id="二编辑器安装">二、编辑器安装</h1>
<h2 id="21-pycharm安装">2.1 Pycharm安装</h2>
<p>官方下载地址是：<a  href="https://www.jetbrains.com/pycharm/download/#section=linux">https://www.jetbrains.com/pycharm/download/#section=linux</a><br>
: Y# y0 d* ~5 D/ L选择免费的社区版安装：<br>
<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102431391-2074783399.png" ><br>
& x% q0 n" K* e' k! m/ q3 y下载下来就是解压，放到一个合适的文件夹下，然后添加环境变量</p>
9 b; ~) @/ u; j2 q1 Z6 G<pre><code class="language-bash">gedit .bashrc
0 J) {9 P( s( x" u. Y: H% @( Q</code></pre>
  [! \' c( b" v<p>在最下面一行输入：</p>
<pre><code class="language-c"># pycharm
' C4 v. c0 ~: |; Aalias pycharm="sh /home/jc-cao/app_download_address/Pycharm2021/pycharm-community-2021.3.1/bin/pycharm.sh"
</code></pre>
6 i8 O- l- i9 F2 R% z8 x3 B% A$ s$ z<p>注：将上面的路径改为自己的pycharm安装路径即可<br>
然后使配置生效</p>
! k" G3 W2 i7 u2 F+ s( b<pre><code class="language-c">source .bashrc
. L. V, i( g! Z# D: h3 o' s</code></pre>
<p>这样在终端输入 <code>pycharm</code> 就能打开软件了<br>
4 ^" M! |! |! u/ k* _. w1 B6 b<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102432003-1803611031.png" ><br>
  b3 F/ x8 L- c. ]+ Q( W; d5 z3 c接下来创建一个名为 learn_pytorch的工程：<br>
9 D6 `, a" m: H<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102433439-420704314.png" ><br>
. A6 j/ D2 [6 N9 o: W选择解释器为之前所创建的名为pytorch的虚拟环境的python解释器</p>
* Z0 N5 q. P0 P- }' B$ M" ~<h2 id="22-jupyter安装">2.2 Jupyter安装</h2>
. k) C" A9 a$ H; |# q7 P* I( k+ _<p>在pytorch 虚拟环境中，输入</p>
<pre><code class="language-c">conda install nb_conda
. l/ F: N% {9 f</code></pre>
<p>安装jupyter：<br>
<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102433994-347380977.png" ><br>
8 x8 r, \6 `5 \# W( @1 _安装好后输入 <code>jupyter notebook</code> 测试<br>
<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102434545-226958772.png" ><br>
5 E4 C) d, \# r/ H在jupyter中新建一个notebook，采用pytorch虚拟环境的python解释器，即可导入torch包进行使用了。<br>
<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102434869-1058987249.png" ></p>
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