PyTorch深度学习入门笔记（一）PyTorch环境配置及安装

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/ s4 G. m) ?0 c8 H8 ?1 H3 ]* u<p>@</p><p></p>
% T4 m2 w# A* l<p><strong>OS：</strong> ubuntu 20.04（虚拟机）</p>
5 l; a& D- L, C) i& I<h1 id="一工具安装">一、工具安装</h1>
. ~2 Y& u! J1 r* d4 z<h2 id="11-anaconda-安装">1.1 Anaconda 安装</h2>
<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>
! L1 ~5 Y( t5 u7 F<code>Anaconda3-5.2.0-Linux-x86_64.sh</code><br>
: \0 D3 _6 v- J4 c7 L# Y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>
安装成功测试：<br>
8 s5 T% C! T! F/ c<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102427806-11701860.png" ><br>
4 V8 x, B" {# k+ \4 W首先创建一个虚拟环境：</p>
- A: w8 D( Q7 q' `! U3 f& |<pre><code class="language-c">conda create -n pytorch python=3.6
3 ]$ p3 b0 X9 s# C3 L9 a. W</code></pre>
<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
: }( Y! e7 Q8 Y</code></pre>
! o* H" G3 d# L4 E- Z<p>激活环境</p>
/ V+ u6 t) q7 q+ z8 i% d' Y8 [<h2 id="12-pytorch安装">1.2 Pytorch安装</h2>
! F0 z# D$ \  Q6 d$ ~; W8 J7 M<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>
<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102429086-588112728.png" ></p>
- W* x) Y$ e+ i9 \0 S( h  n& m<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>
安装过程可能比较缓慢，可以用以下命令（推荐）‘</p>
* K7 z9 A6 K. |<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>
' f- \$ N, T/ E6 m5 j安装好后进行测试：<br>
<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102430213-1770020069.png" ></p>
<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>
& R$ ~) y( ^& M9 l' A<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>
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>
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>
( ^& ?5 g: h% l" v4 p7 a<pre><code class="language-bash">gedit .bashrc
3 n' t5 `; G, D4 ?: Y</code></pre>
<p>在最下面一行输入：</p>
<pre><code class="language-c"># pycharm
alias pycharm="sh /home/jc-cao/app_download_address/Pycharm2021/pycharm-community-2021.3.1/bin/pycharm.sh"
</code></pre>
9 x" J, t$ A" S, c% V5 d/ b) P7 f% ]<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>
( L8 A3 Y! x( T% \3 Q<pre><code class="language-c">source .bashrc
4 _: M: X* X0 c3 d  [</code></pre>
<p>这样在终端输入 <code>pycharm</code> 就能打开软件了<br>
<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102432003-1803611031.png" ><br>
) ~- h# ]8 @, F9 w' o) Q4 Z接下来创建一个名为 learn_pytorch的工程：<br>
: G! j6 q8 J+ G<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102433439-420704314.png" ><br>
5 i3 Q. R( @/ u; T  r0 V2 `. I; e* a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>
<h2 id="22-jupyter安装">2.2 Jupyter安装</h2>
<p>在pytorch 虚拟环境中，输入</p>
, P" {1 ?2 u* j9 D0 L<pre><code class="language-c">conda install nb_conda
' u- z- X( m8 z8 ]% B/ `3 D</code></pre>
7 I9 Y! Y) k# _/ X& W, T2 c1 u' W<p>安装jupyter：<br>
<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102433994-347380977.png" ><br>
8 W7 J6 C; ?; e4 X3 l9 M安装好后输入 <code>jupyter notebook</code> 测试<br>
, v3 m, Y2 y$ g0 W* f<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102434545-226958772.png" ><br>
* M2 u- U1 y7 V. N. S- K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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