PyTorch深度学习入门笔记（一）PyTorch环境配置及安装

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& ?7 `' f7 Z  K: O/ C/ e7 ?<p>@</p><p></p>
7 M$ q$ F3 K+ H( v<p><strong>OS：</strong> ubuntu 20.04（虚拟机）</p>
( J  c# _5 b) m5 v<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>
<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>
1 g0 ~6 w% |# E6 M1 m% O<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>
! T& @6 d1 D6 h; M& T3 `安装成功测试：<br>
% x9 C. Q7 J- u7 }, G<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>
' C1 U" D0 e' P/ z7 X) q. j5 t* @<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>
  i; v5 F2 _" A5 W* g输入</p>
<pre><code class="language-c">source activate pytorch
</code></pre>
8 T0 p6 H- M# `* O: ?: `<p>激活环境</p>
<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>
<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102429086-588112728.png" ></p>
% D- f9 j& M: E<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>
<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>
. i  {9 t! @0 o<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>
$ @4 E8 M4 }. j6 o  b- B9 x<h1 id="二编辑器安装">二、编辑器安装</h1>
- ^  Z9 O  F" {) u( }<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>
选择免费的社区版安装：<br>
0 F7 M8 ~5 h! `+ |, ?8 `, w<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102431391-2074783399.png" ><br>
) {; I+ G% E. c2 T8 b. s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>
/ B. r8 Z8 g0 l6 O<pre><code class="language-bash">gedit .bashrc
</code></pre>
<p>在最下面一行输入：</p>
<pre><code class="language-c"># pycharm
$ a/ }% }/ M( |$ p4 Aalias pycharm="sh /home/jc-cao/app_download_address/Pycharm2021/pycharm-community-2021.3.1/bin/pycharm.sh"
</code></pre>
$ ?5 i( r* ^5 n( c<p>注：将上面的路径改为自己的pycharm安装路径即可<br>
* s8 Z; w2 }  ]+ d. I1 e% U然后使配置生效</p>
<pre><code class="language-c">source .bashrc
</code></pre>
; M# w# X! I6 \) q8 n0 B<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>
接下来创建一个名为 learn_pytorch的工程：<br>
1 y. k0 i) c. ~4 k<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>
<h2 id="22-jupyter安装">2.2 Jupyter安装</h2>
) o5 W0 B) B. w<p>在pytorch 虚拟环境中，输入</p>
<pre><code class="language-c">conda install nb_conda
' f5 o- W6 P4 y) j& |! M/ A4 Q+ G</code></pre>
4 n+ T& _! v& o5 U<p>安装jupyter：<br>
<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102433994-347380977.png" ><br>
1 ^1 k, V8 \0 F  E" X9 P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>
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>
5 N. b2 h2 b7 ~: A; ?<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102434869-1058987249.png" ></p>
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