PyTorch深度学习入门笔记（一）PyTorch环境配置及安装

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<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 G& P" H% J3 ?$ D$ d8 C<h2 id="11-anaconda-安装">1.1 Anaconda 安装</h2>
& ~, y9 V+ J8 Z0 @. z  ~" j5 E<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>
$ x0 e9 D0 K5 ^9 B7 j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>
7 w' x+ r: o6 |  s安装成功测试：<br>
<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>
9 Q% f" I, z- G6 y5 L输入</p>
4 i# z. }& p/ P2 o" k& T" J<pre><code class="language-c">source activate pytorch
; |' v/ \3 S7 m) k2 w</code></pre>
( P: _# S9 ^1 H9 _$ E<p>激活环境</p>
5 c: T% k' T$ g+ j8 n' m; |) `) b1 q<h2 id="12-pytorch安装">1.2 Pytorch安装</h2>
9 t- ]0 i3 [9 f8 ]. d+ _# Z+ B<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>
; H) ]5 ?" E( _+ p7 ]- b" |/ e, B9 O, l<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>
4 J# Z" s2 O$ ?& D0 T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
  `5 X0 }9 j0 L* N</code></pre>
/ }- ?- q) r/ D* E& C1 l/ G* c- `<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>
4 ]( y  a; G" h9 R安装好后进行测试：<br>
+ r. S  G- d1 ^2 B2 [) \" A$ q: j1 w<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>
<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>
# h) M( Q) [8 c% j5 V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
</code></pre>
<p>在最下面一行输入：</p>
" P8 j. w, T3 v<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>
<p>注：将上面的路径改为自己的pycharm安装路径即可<br>
) k8 J2 S+ o0 n+ T# F0 ?( b1 ^然后使配置生效</p>
. \: Z" w/ @+ ~8 G* U" b* V<pre><code class="language-c">source .bashrc
; O) _* `9 k) v7 [2 Y</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>
接下来创建一个名为 learn_pytorch的工程：<br>
7 n$ W. K; L+ Z% r3 K; d) F<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102433439-420704314.png" ><br>
- i* A2 g  h5 A. W2 {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>
. j4 e! C2 H4 N! ?9 L, N<p>在pytorch 虚拟环境中，输入</p>
0 y- q3 |6 ~! g& i3 t. ]" t<pre><code class="language-c">conda install nb_conda
6 E# V% m3 P1 D3 a6 _. S# v</code></pre>
<p>安装jupyter：<br>
  S. i) i* ~, C4 i1 p<img src="https://img2022.cnblogs.com/other/1772025/202202/1772025-20220212102433994-347380977.png" ><br>
1 R' R1 n9 A) K! d  r3 F+ O1 _8 W0 a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>
- b( e( \- {( K' i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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