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>
! ?9 y. H; N+ z5 F9 h/ k6 Z/ F<h2 id="11-anaconda-安装">1.1 Anaconda 安装</h2>
- A1 Z" q9 G3 W<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>
<code>Anaconda3-5.2.0-Linux-x86_64.sh</code><br>
- G; G0 ~: |0 S9 e: ^' a; i1 V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>
( G2 P; o6 Z& G4 U# i7 [& b) m5 H<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>
; e3 y3 Z0 E% Y2 }9 y1 U<pre><code class="language-c">conda create -n pytorch python=3.6
9 o4 v" F, l! `( z1 `: v* @% V</code></pre>
& A  ?# j7 r3 g4 T0 \3 d1 _<p><img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102428555-1044758357.png" ><br>
% H, a5 t& c* W8 q( U+ F3 X. {输入</p>
<pre><code class="language-c">source activate pytorch
! w' \1 H2 _/ \</code></pre>
* n$ R- s. }) R/ F+ Z" Q$ K; x<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>
# A  T6 T7 G7 h8 u% b0 S' }<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>
1 H5 k/ s; U+ o! t8 B<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>
0 d2 v6 p6 m: ^4 S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>
5 R+ a* c5 o& ?- ^& n+ f2 h<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>
<pre><code class="language-bash">gedit .bashrc
; l" b# |$ ~8 D" S7 Q</code></pre>
+ I$ n6 }- Q! Y. r<p>在最下面一行输入：</p>
# m. y/ f/ q' o6 O<pre><code class="language-c"># pycharm
$ e8 s+ R. J' ?0 T0 b! q- valias pycharm="sh /home/jc-cao/app_download_address/Pycharm2021/pycharm-community-2021.3.1/bin/pycharm.sh"
. C6 K) Y. C. e* d</code></pre>
2 x1 [7 b# Z. J* i" 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>
7 q$ Y. Q9 Y. N) l% ]$ X<pre><code class="language-c">source .bashrc
</code></pre>
2 _# E, e  _, g4 Z1 r! T' k<p>这样在终端输入 <code>pycharm</code> 就能打开软件了<br>
8 K, _6 m: H4 B8 l2 T<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>
<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102433439-420704314.png" ><br>
9 c* p9 Q$ [2 E9 o' `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>
$ U- q  b+ Z1 U' x<h2 id="22-jupyter安装">2.2 Jupyter安装</h2>
9 H' A4 ]' l* C. x* q" ]1 J<p>在pytorch 虚拟环境中，输入</p>
1 ^% {. i# |% x<pre><code class="language-c">conda install nb_conda
</code></pre>
5 k+ f# B  }, m4 J1 b1 e% K7 ^8 Y<p>安装jupyter：<br>
. X( r( j) l& w0 a<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102433994-347380977.png" ><br>
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>
0 f' T4 \6 B; O8 I( d: r$ B<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102434869-1058987249.png" ></p>
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