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>
* L7 g3 l- @+ ~. ?<p><strong>OS：</strong> ubuntu 20.04（虚拟机）</p>
/ Z1 q+ l0 m9 N, C$ T" |- l8 L: o* Q<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>
8 N9 d' ]' R  L1 x9 h* Q4 H<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>
/ ~, `6 o2 x8 ?# [1 V<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>
安装成功测试：<br>
+ G( k( ^; v3 n$ M  [<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>
<pre><code class="language-c">conda create -n pytorch python=3.6
</code></pre>
<p><img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102428555-1044758357.png" ><br>
输入</p>
' w, h+ ]$ o& J* r<pre><code class="language-c">source activate pytorch
</code></pre>
$ f: o% d6 g9 @$ M: V<p>激活环境</p>
& B% b3 ~) K/ d& i% R<h2 id="12-pytorch安装">1.2 Pytorch安装</h2>
<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>
* S* j9 x2 ], `+ z<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102429086-588112728.png" ></p>
, k" i9 K$ p% l* g) b, x! O<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>
& |. \/ O$ x$ T- l& L安装过程可能比较缓慢，可以用以下命令（推荐）‘</p>
1 P8 Y$ w) Q! z" k3 J<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>
安装好后进行测试：<br>
<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102430213-1770020069.png" ></p>
! F$ ]/ f* z$ L' M3 Q9 B% e<h1 id="二编辑器安装">二、编辑器安装</h1>
7 S2 C" p% W, E& q/ q$ o' z7 T9 }<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>
/ @$ ~# ^! ~$ q& ~9 A4 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>
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>
* @6 ]* m( O3 T1 O0 |<pre><code class="language-bash">gedit .bashrc
6 h, d, h3 L( Q4 i0 v  k* D9 V</code></pre>
<p>在最下面一行输入：</p>
<pre><code class="language-c"># pycharm
/ v, u7 Y' N4 P) _alias pycharm="sh /home/jc-cao/app_download_address/Pycharm2021/pycharm-community-2021.3.1/bin/pycharm.sh"
( n& S3 @" Z5 w</code></pre>
& f0 h; u6 D8 y# F. K$ t<p>注：将上面的路径改为自己的pycharm安装路径即可<br>
# j) t! Y- i4 J: ]然后使配置生效</p>
<pre><code class="language-c">source .bashrc
</code></pre>
" [" }* g, S: d<p>这样在终端输入 <code>pycharm</code> 就能打开软件了<br>
4 w' L) t" T# X1 i<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102432003-1803611031.png" ><br>
" q! A. {  f! _( X" u接下来创建一个名为 learn_pytorch的工程：<br>
. k. j/ Y* k$ N: `0 A<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102433439-420704314.png" ><br>
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>
. E- \4 S7 y5 y<h2 id="22-jupyter安装">2.2 Jupyter安装</h2>
<p>在pytorch 虚拟环境中，输入</p>
( ^6 |. H8 [3 `% S8 Y, H5 @<pre><code class="language-c">conda install nb_conda
: C- `( N# _( ^' o3 [7 a</code></pre>
, z3 F3 ?+ Z: U<p>安装jupyter：<br>
1 w% D/ Q% X/ f( h# q0 y/ R<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102433994-347380977.png" ><br>
: S4 _( E6 t& Q7 c/ }7 F安装好后输入 <code>jupyter notebook</code> 测试<br>
, U) }( n( l* A% s! E<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102434545-226958772.png" ><br>
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>
0 E% N$ ^* l# i1 q3 t, g<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102434869-1058987249.png" ></p>
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