{"id":81726,"date":"2026-07-25T04:01:43","date_gmt":"2026-07-24T20:01:43","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/81726.html"},"modified":"2026-07-25T04:01:43","modified_gmt":"2026-07-24T20:01:43","slug":"%e6%89%8b%e6%8a%8a%e6%89%8b%e6%95%99%e4%bd%a0%e7%a7%9f%e7%94%a8%e6%9c%8d%e5%8a%a1%e5%99%a8%e4%bb%a5%e5%8f%8a%e4%bd%bf%e7%94%a8vs-code%e8%bf%9c%e7%a8%8b%e8%bf%9e%e6%8e%a5%e6%9c%8d%e5%8a%a1%e5%99%a8","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/81726.html","title":{"rendered":"\u624b\u628a\u624b\u6559\u4f60\u79df\u7528\u670d\u52a1\u5668\u4ee5\u53ca\u4f7f\u7528VS code\u8fdc\u7a0b\u8fde\u63a5\u670d\u52a1\u5668\u8bad\u7ec3\u6a21\u578b"},"content":{"rendered":"<\/p>\n<h4>\u624b\u628a\u624b\u6559\u4f60\u79df\u7528\u670d\u52a1\u5668\u4ee5\u53ca\u4f7f\u7528Visual Studio Code\u8fdc\u7a0b\u8fde\u63a5\u670d\u52a1\u5668\u8bad\u7ec3\u6a21\u578b<\/h4>\n<ul>\n<li>\u4e00\u3001\u51c6\u5907\u5de5\u4f5c<\/li>\n<li>\n<ul>\n<li>1.\u5b89\u88c5VS Code<\/li>\n<li>2.\u5b89\u88c5\u5fc5\u9700\u63d2\u4ef6<\/li>\n<\/ul>\n<\/li>\n<li>\u4e8c\u3001\u79df\u7528\u670d\u52a1\u5668<\/li>\n<li>\u4e09\u3001VS Code\u8fdc\u7a0b\u8fde\u63a5\u670d\u52a1\u5668<\/li>\n<li>\u56db\u3001\u590d\u73b0\u6a21\u578b<\/li>\n<li>\n<ul>\n<li>1.\u521b\u5efa\u865a\u62df\u73af\u5883<\/li>\n<li>2.\u521b\u5efa\u8bad\u7ec3\u811a\u672c<\/li>\n<li>3.\u8fd0\u884c\u6a21\u578b<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>\u7528\u670d\u52a1\u5668\u8bad\u7ec3\u6a21\u578b&#xff0c;\u771f\u7684\u6ca1\u6709\u60f3\u8c61\u4e2d\u90a3\u4e48\u53ef\u6015&#xff01;\u4e0d\u8981\u6050\u60e7&#xff01;\u76f8\u4fe1\u6211&#xff0c;\u6700\u591a\u53ea\u9700\u8981\u534a\u5c0f\u65f6&#xff0c;\u4f60\u4e5f\u80fd\u8f7b\u8f7b\u677e\u677e\u8dd1\u8d77\u81ea\u5df1\u7684\u6a21\u578b&#xff01;<\/p>\n<hr \/>\n<p>\u5982\u679c\u4f60\u770b\u8fc7\u6211\u4e4b\u524d\u90a3\u7bc7\u300a\u624b\u628a\u624b\u6559\u4f60\u79df\u7528\u670d\u52a1\u5668\u4ee5\u53ca\u4f7f\u7528Pycharm\u8fdc\u7a0b\u8fde\u63a5\u670d\u52a1\u5668\u8bad\u7ec3\u6a21\u578b\u300b&#xff0c;\u5e94\u8be5\u5df2\u7ecf\u4f53\u9a8c\u8fc7\u7528\u670d\u52a1\u5668\u8bad\u7ec3\u6a21\u578b\u7684\u5feb\u4e50\u4e86\u3002PyCharm\u867d\u7136\u5f3a\u5927&#xff0c;\u4f46\u53ea\u6709\u4e13\u4e1a\u7248\u624d\u652f\u6301\u8fdc\u7a0b\u8fde\u63a5&#xff08;\u61c2\u7684\u90fd\u61c2&#x1f622;&#xff09;&#xff0c;\u6240\u4ee5\u4eca\u5929\u4f7f\u7528VS Code\u8fdc\u7a0b\u8fde\u63a5\u670d\u52a1\u5668\u3002 \u672c\u4eba\u6bd4\u8f83\u559c\u6b22\u5728AutoDL\u4e2d\u79df\u7528\u670d\u52a1\u5668&#xff0c;\u6240\u4ee5\u4eca\u5929\u7684\u6559\u7a0b\u4f1a\u4ee5AutoDL\u4e3a\u4f8b&#xff0c;\u624b\u628a\u624b\u5e26\u4f60\u8d70\u4e00\u904d\u5b8c\u6574\u6d41\u7a0b\u3002\u4e3a\u4ec0\u4e48\u9009\u5b83&#xff1f;\u4ef7\u683c\u4fbf\u5b9c\u3001\u6309\u91cf\u8ba1\u8d39\u3001\u955c\u50cf\u4e30\u5bcc\u3001\u56fd\u5185\u8bbf\u95ee\u901f\u5ea6\u5feb\u2014\u2014\u5bf9\u5b66\u751f\u515a\u548c\u65b0\u624b\u7279\u522b\u53cb\u597d&#xff01;<\/p>\n<hr \/>\n<p>\u8bfb\u5b8c\u672c\u6587&#xff0c;\u4f60\u5c06\u5b66\u5230<\/p>\n<ul>\n<li>\u5982\u4f55\u5728AutoDL\u4e0a\u79df\u670d\u52a1\u5668<\/li>\n<li>\u5982\u4f55\u4f7f\u7528VS Code Remote-SSH\u8fde\u63a5\u670d\u52a1\u5668<\/li>\n<li>\u5982\u4f55\u914d\u7f6ePython\u73af\u5883\u5e76\u8dd1\u901a\u7b2c\u4e00\u4e2a\u8bad\u7ec3\u811a\u672c<\/li>\n<\/ul>\n<h2>\u4e00\u3001\u51c6\u5907\u5de5\u4f5c<\/h2>\n<h3>1.\u5b89\u88c5VS Code<\/h3>\n<p>\u5728VS Code\u5b98\u7f51\u4e0b\u8f7d&#xff0c;\u4e00\u6b65\u4e00\u6b65\u5b89\u88c5\u5373\u53ef<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260724200135-6a63c49f629d1.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" width=\"1200\" height=\"420\" \/><\/p>\n<h3>2.\u5b89\u88c5\u5fc5\u9700\u63d2\u4ef6<\/h3>\n<p>\u6253\u5f00 VS Code &#xff0c;\u70b9\u51fb\u5de6\u4fa7\u7684\u6269\u5c55\u641c\u7d22\u63d2\u4ef6\u5e76\u8fdb\u884c\u5b89\u88c5<\/p>\n<ul>\n<li>Remote &#8211; SSH \u4f5c\u7528&#xff1a;\u8fdc\u7a0b\u8fde\u63a5\u670d\u52a1\u5668<\/li>\n<li>Python \u4f5c\u7528&#xff1a;Python\u4ee3\u7801\u652f\u6301<\/li>\n<\/ul>\n<p>&#xff08;\u6211\u8fd9\u91cc\u5df2\u7ecf\u5b89\u88c5\u4e86&#xff0c;\u6240\u4ee5\u6ca1\u6709\u51fa\u73b0\u53f3\u4e0b\u89d2\u7684\u201c\u5b89\u88c5\u201d&#xff09;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260724200135-6a63c49fe8c32.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" width=\"1200\" height=\"450\" \/><\/p>\n<h2>\u4e8c\u3001\u79df\u7528\u670d\u52a1\u5668<\/h2>\n<p>\u8fdb\u5165AutoDL\u5b98\u7f51&#xff0c;\u5b8c\u6210\u6ce8\u518c\u4e4b\u540e\u70b9\u51fb\u7b97\u529b\u5e02\u573a&#xff0c;\u4f60\u53ef\u4ee5\u770b\u5230\u5f88\u591a\u4e0d\u540c\u6027\u80fd\u7684\u670d\u52a1\u5668\u3002\u663e\u5b58\u5927\u5c0f\u51b3\u5b9a\u4f60\u80fd\u8dd1\u591a\u5927\u7684\u6a21\u578b&#xff0c;\u5982\u679c\u4f60\u662f\u7b2c\u4e00\u6b21\u5c1d\u8bd5&#xff0c;\u53ef\u4ee5\u9009RTX 3060&#xff0c;\u6027\u4ef7\u6bd4\u5f88\u9ad8&#xff01; <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260724200136-6a63c4a03081a.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" width=\"1200\" height=\"580\" \/> \u9009\u597d\u673a\u578b\u540e&#xff0c;\u70b9\u51fb\u201c\u79df\u7528\u201d&#xff0c;\u8fdb\u5165\u914d\u7f6e\u9875\u9762\u3002\u6700\u5173\u952e\u7684\u4e00\u6b65\u5c31\u662f\u9009\u62e9\u955c\u50cf&#xff01;AutoDL\u63d0\u4f9b\u4e86\u6d77\u91cf\u9884\u914d\u7f6e\u955c\u50cf&#xff1a;<\/p>\n<ul>\n<li>\u5b98\u65b9\u955c\u50cf&#xff1a;PyTorch\u3001TensorFlow\u3001PaddlePaddle\u7b49<\/li>\n<li>\u793e\u533a\u955c\u50cf&#xff1a;\u522b\u4eba\u6253\u5305\u597d\u7684\u73af\u5883&#xff0c;\u5305\u542b\u5404\u79cd\u5e93<\/li>\n<\/ul>\n<p>\u5982\u679c\u6ca1\u6709\u81ea\u5df1\u60f3\u8981\u7684\u7ec4\u5408&#xff0c;\u53ef\u4ee5\u9009\u4e00\u4e2a\u6700\u63a5\u8fd1\u7684&#xff0c;\u7136\u540e\u518d\u6b64\u57fa\u7840\u4e0a\u5fae\u8c03\u3002\u7b2c\u4e00\u6b21\u5c1d\u8bd5&#xff0c;\u63a8\u8350PyTorch 2.0.0 &#043; Python 3.8 &#043; CUDA 11.8\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260724200136-6a63c4a084812.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" width=\"1200\" height=\"600\" \/><\/p>\n<p>\u70b9\u51fb\u201c\u521b\u5efa\u5e76\u5f00\u673a\u201d&#xff0c;\u670d\u52a1\u5668\u5c31\u79df\u597d\u5566&#xff01;\u79df\u597d\u4e4b\u540e&#xff0c;\u9ed8\u8ba4\u5f00\u673a\u72b6\u6001&#xff0c;\u5f00\u673a\u5c31\u4f1a\u8ba1\u8d39&#xff01;\u8fde\u63a5\u8fc7\u7a0b\u6216\u8005\u914d\u7f6e\u73af\u5883\u7684\u65f6\u5019&#xff0c;\u53ef\u4ee5\u9009\u62e9\u65e0\u5361\u6a21\u5f0f\u5f00\u673a&#xff0c;\u7b49\u771f\u6b63\u8bad\u7ec3\u7684\u65f6\u5019\u5f00\u673a\u5c31\u884c&#xff01;&#xff08;\u4e0d\u5728\u4e4emoney\u7684~~~\u5f53\u6211\u6ca1\u8bf4\u54c8\u54c8\u54c8&#xff09;<\/p>\n<p>\u8fdb\u5165\u63a7\u5236\u53f0&#xff0c;\u9009\u62e9\u5de6\u4fa7\u5bb9\u5668\u5b9e\u4f8b&#xff0c;\u5c31\u53ef\u4ee5\u770b\u5230\u81ea\u5df1\u79df\u7684\u670d\u52a1\u5668&#xff01;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260724200136-6a63c4a0db956.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" width=\"1200\" height=\"230\" \/><\/p>\n<h2>\u4e09\u3001VS Code\u8fdc\u7a0b\u8fde\u63a5\u670d\u52a1\u5668<\/h2>\n<p>1.\u6253\u5f00 SSH \u8fde\u63a5\u5e76\u6dfb\u52a0\u670d\u52a1\u5668<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260724200137-6a63c4a131e0e.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" width=\"1200\" height=\"360\" \/><\/p>\n<p>\u8f93\u5165\u767b\u5f55\u6307\u4ee4\u4e4b\u540e&#xff0c;\u6309\u201cEnter\u201d<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260724200137-6a63c4a167a07.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" width=\"1200\" height=\"390\" \/><\/p>\n<p>\u70b9\u51fb\u53f3\u4e0b\u89d2\u7684\u8fde\u63a5<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260724200137-6a63c4a19dca9.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" width=\"1200\" height=\"550\" \/><\/p>\n<p>\u70b9\u51fb\u7ee7\u7eed&#xff0c;\u8f93\u5165\u5bc6\u7801<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260724200138-6a63c4a24b2e0.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" width=\"1200\" height=\"580\" \/> <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260724200138-6a63c4a297495.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" width=\"1200\" height=\"550\" \/><\/p>\n<p>\u5230\u6b64&#xff0c;\u8fde\u63a5\u5c31\u6210\u529f\u5566&#xff01;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260724200138-6a63c4a2e4763.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" width=\"1200\" height=\"570\" \/><\/p>\n<h2>\u56db\u3001\u590d\u73b0\u6a21\u578b<\/h2>\n<p>\u8dd1\u901a\u4f60\u7684\u7b2c\u4e00\u4e2a\u6a21\u578b\u2014\u2014MNIST\u624b\u5199\u6570\u5b57\u8bc6\u522b<\/p>\n<h3>1.\u521b\u5efa\u865a\u62df\u73af\u5883<\/h3>\n<p>\u4f7f\u7528\u865a\u62df\u73af\u5883\u53ef\u4ee5\u907f\u514d\u5305\u7684\u6df7\u4e71\u548c\u7248\u672c\u51b2\u7a81\u3002\u521b\u5efa\u865a\u62df\u73af\u5883\u65f6&#xff0c;\u670d\u52a1\u5668\u9009\u62e9\u65e0\u5361\u6a21\u5f0f\u5f00\u673a\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260724200139-6a63c4a33eb6a.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" width=\"1200\" height=\"180\" \/> \u5728 VS Code \u7ec8\u7aef\u4f9d\u6b21\u8f93\u5165<\/p>\n<p><span class=\"token function\">mkdir<\/span> mnist_demo <span class=\"token comment\">#\u521b\u5efamnist_demo\u6587\u4ef6\u5939<\/span><br \/>\n<span class=\"token builtin class-name\">cd<\/span> mnist_demo <span class=\"token comment\"># \u8fdb\u5165\u6587\u4ef6\u5939<\/span><br \/>\nconda create <span class=\"token parameter variable\">-n<\/span> mnist <span class=\"token comment\">#\u521b\u5efa\u540d\u4e3amnist\u7684\u865a\u62df\u73af\u5883<\/span><br \/>\nconda activate minist  <span class=\"token comment\">#\u6fc0\u6d3b\u865a\u62df\u73af\u5883<\/span><br \/>\n<span class=\"token comment\">#\u51fa\u73b0\u9519\u8befCondaError: Run &#039;conda init&#039; before &#039;conda activate&#039;<\/span><br \/>\n<span class=\"token comment\">#\u76f4\u63a5\u5728\u7ec8\u7aef\u6267\u884c\u4ee5\u4e0b\u547d\u4ee4&#xff0c;\u7136\u540e\u5173\u6389\u5f53\u524d\u7ec8\u7aef&#xff0c;\u91cd\u65b0\u6253\u5f00\u7ec8\u7aef\u5373\u53ef\u89e3\u51b3<\/span><br \/>\nconda init<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260724200139-6a63c4a36fe94.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" width=\"1200\" height=\"890\" \/> \u91cd\u65b0\u6253\u5f00\u7ec8\u7aef\u4e4b\u540e&#xff0c;\u4e00\u5b9a\u8981\u91cd\u65b0\u6fc0\u6d3b\u865a\u62df\u73af\u5883<\/p>\n<p>conda activate mnist<br \/>\n<span class=\"token builtin class-name\">cd<\/span> mnist_demo<br \/>\npython <span class=\"token parameter variable\">-c<\/span> <span class=\"token string\">&#034;import torch; print(&#039;PyTorch\u7248\u672c:&#039;, torch.__version__); print(&#039;CUDA\u53ef\u7528:&#039;, torch.cuda.is_available())&#034;<\/span> <span class=\"token comment\">#\u67e5\u770bPyTorch\u7248\u672c<\/span><br \/>\nPyTorch\u7248\u672c: <span class=\"token number\">2.8<\/span>.0&#043;cu128<br \/>\nCUDA\u53ef\u7528: False<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260724200139-6a63c4a3a5451.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" width=\"1200\" height=\"610\" \/><\/p>\n<h3>2.\u521b\u5efa\u8bad\u7ec3\u811a\u672c<\/h3>\n<p>\u5728\/root\/mnist_demo\u76ee\u5f55\u4e0b\u65b0\u5efa\u4e00\u4e2a\u6587\u4ef6&#xff0c;\u547d\u540d\u4e3amnist_train.py&#xff0c;\u7136\u540e\u4ee5\u4e0b\u4ee3\u7801\u5b8c\u6574\u590d\u5236\u8fdb\u53bb\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260724200139-6a63c4a3e10da.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" width=\"1200\" height=\"700\" \/><\/p>\n<p><span class=\"token comment\"># -*- coding: utf-8 -*-<\/span><br \/>\n<span class=\"token triple-quoted-string string\">&#034;&#034;&#034;<br \/>\nMNIST\u624b\u5199\u6570\u5b57\u8bc6\u522b<br \/>\n&#034;&#034;&#034;<\/span><\/p>\n<p><span class=\"token keyword\">import<\/span> torch<br \/>\n<span class=\"token keyword\">import<\/span> torch<span class=\"token punctuation\">.<\/span>nn <span class=\"token keyword\">as<\/span> nn<br \/>\n<span class=\"token keyword\">import<\/span> torch<span class=\"token punctuation\">.<\/span>optim <span class=\"token keyword\">as<\/span> optim<br \/>\n<span class=\"token keyword\">import<\/span> torchvision<br \/>\n<span class=\"token keyword\">import<\/span> torchvision<span class=\"token punctuation\">.<\/span>transforms <span class=\"token keyword\">as<\/span> transforms<br \/>\n<span class=\"token keyword\">import<\/span> matplotlib<span class=\"token punctuation\">.<\/span>pyplot <span class=\"token keyword\">as<\/span> plt<br \/>\n<span class=\"token keyword\">import<\/span> numpy <span class=\"token keyword\">as<\/span> np<br \/>\n<span class=\"token keyword\">from<\/span> torch<span class=\"token punctuation\">.<\/span>utils<span class=\"token punctuation\">.<\/span>data <span class=\"token keyword\">import<\/span> DataLoader<br \/>\n<span class=\"token keyword\">import<\/span> time<\/p>\n<p><span class=\"token comment\"># &#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061; 1. \u8bbe\u7f6e\u53c2\u6570 &#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;&#x1f680; \u5f00\u59cb\u51c6\u5907MNIST\u624b\u5199\u6570\u5b57\u8bc6\u522b&#8230;&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\nbatch_size <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">64<\/span>          <span class=\"token comment\"># \u6bcf\u6b21\u8bad\u7ec3\u5904\u740664\u5f20\u56fe<\/span><br \/>\nlearning_rate <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">0.001<\/span>    <span class=\"token comment\"># \u5b66\u4e60\u7387<\/span><br \/>\nnum_epochs <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">3<\/span>           <span class=\"token comment\"># \u8bad\u7ec33\u8f6e&#xff08;\u8db3\u591f\u770b\u5230\u6548\u679c&#xff09;<\/span><\/p>\n<p><span class=\"token comment\"># \u68c0\u67e5GPU<\/span><br \/>\ndevice <span class=\"token operator\">&#061;<\/span> torch<span class=\"token punctuation\">.<\/span>device<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;cuda&#039;<\/span> <span class=\"token keyword\">if<\/span> torch<span class=\"token punctuation\">.<\/span>cuda<span class=\"token punctuation\">.<\/span>is_available<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token keyword\">else<\/span> <span class=\"token string\">&#039;cpu&#039;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;&#x1f4bb; \u4f7f\u7528\u8bbe\u5907: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>device<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># &#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061; 2. \u51c6\u5907\u6570\u636e &#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;&#x1f4e5; \u4e0b\u8f7d\/\u52a0\u8f7dMNIST\u6570\u636e\u96c6&#8230;&#034;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u6570\u636e\u9884\u5904\u7406&#xff1a;\u8f6c\u4e3aTensor\u5e76\u5f52\u4e00\u5316<\/span><br \/>\ntransform <span class=\"token operator\">&#061;<\/span> transforms<span class=\"token punctuation\">.<\/span>Compose<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">[<\/span><br \/>\n    transforms<span class=\"token punctuation\">.<\/span>ToTensor<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span>  <span class=\"token comment\"># \u5c06PIL\u56fe\u50cf\u8f6c\u4e3aTensor&#xff0c;\u5e76\u628a\u50cf\u7d20\u503c\u4ece[0,255]\u5f52\u4e00\u5316\u5230[0,1]<\/span><br \/>\n    transforms<span class=\"token punctuation\">.<\/span>Normalize<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">0.5<\/span><span class=\"token punctuation\">,<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token punctuation\">(<\/span><span class=\"token number\">0.5<\/span><span class=\"token punctuation\">,<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span>  <span class=\"token comment\"># \u6807\u51c6\u5316\u5230[-1,1]\u8303\u56f4&#xff0c;\u8ba9\u6a21\u578b\u66f4\u5bb9\u6613\u8bad\u7ec3<\/span><br \/>\n<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u4e0b\u8f7d\u8bad\u7ec3\u96c6<\/span><br \/>\ntrain_dataset <span class=\"token operator\">&#061;<\/span> torchvision<span class=\"token punctuation\">.<\/span>datasets<span class=\"token punctuation\">.<\/span>MNIST<span class=\"token punctuation\">(<\/span><br \/>\n    root<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;.\/data&#039;<\/span><span class=\"token punctuation\">,<\/span>          <span class=\"token comment\"># \u6570\u636e\u5b58\u653e\u4f4d\u7f6e<\/span><br \/>\n    train<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">True<\/span><span class=\"token punctuation\">,<\/span>             <span class=\"token comment\"># \u8fd9\u662f\u8bad\u7ec3\u96c6<\/span><br \/>\n    transform<span class=\"token operator\">&#061;<\/span>transform<span class=\"token punctuation\">,<\/span>    <span class=\"token comment\"># \u5e94\u7528\u4e0a\u9762\u7684\u9884\u5904\u7406<\/span><br \/>\n    download<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">True<\/span>           <span class=\"token comment\"># \u5982\u679c\u672c\u5730\u6ca1\u6709\u5c31\u4e0b\u8f7d<\/span><br \/>\n<span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u4e0b\u8f7d\u6d4b\u8bd5\u96c6<\/span><br \/>\ntest_dataset <span class=\"token operator\">&#061;<\/span> torchvision<span class=\"token punctuation\">.<\/span>datasets<span class=\"token punctuation\">.<\/span>MNIST<span class=\"token punctuation\">(<\/span><br \/>\n    root<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;.\/data&#039;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    train<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">False<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    transform<span class=\"token operator\">&#061;<\/span>transform<span class=\"token punctuation\">,<\/span><br \/>\n    download<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">True<\/span><br \/>\n<span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u521b\u5efa\u6570\u636e\u52a0\u8f7d\u5668&#xff08;\u81ea\u52a8\u5e2e\u6211\u4eec\u5206\u6279\u3001\u6253\u4e71&#xff09;<\/span><br \/>\ntrain_loader <span class=\"token operator\">&#061;<\/span> DataLoader<span class=\"token punctuation\">(<\/span>train_dataset<span class=\"token punctuation\">,<\/span> batch_size<span class=\"token operator\">&#061;<\/span>batch_size<span class=\"token punctuation\">,<\/span> shuffle<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">True<\/span><span class=\"token punctuation\">)<\/span><br \/>\ntest_loader <span class=\"token operator\">&#061;<\/span> DataLoader<span class=\"token punctuation\">(<\/span>test_dataset<span class=\"token punctuation\">,<\/span> batch_size<span class=\"token operator\">&#061;<\/span>batch_size<span class=\"token punctuation\">,<\/span> shuffle<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">False<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;\u2705 \u8bad\u7ec3\u96c6\u5927\u5c0f: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span><span class=\"token builtin\">len<\/span><span class=\"token punctuation\">(<\/span>train_dataset<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\"> \u5f20\u56fe\u7247&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;\u2705 \u6d4b\u8bd5\u96c6\u5927\u5c0f: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span><span class=\"token builtin\">len<\/span><span class=\"token punctuation\">(<\/span>test_dataset<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\"> \u5f20\u56fe\u7247&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># &#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061; 3. \u5b9a\u4e49\u795e\u7ecf\u7f51\u7edc &#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;<\/span><br \/>\n<span class=\"token keyword\">class<\/span> <span class=\"token class-name\">SimpleNN<\/span><span class=\"token punctuation\">(<\/span>nn<span class=\"token punctuation\">.<\/span>Module<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    <span class=\"token triple-quoted-string string\">&#034;&#034;&#034;\u4e00\u4e2a\u8d85\u7ea7\u7b80\u5355\u7684\u5168\u8fde\u63a5\u795e\u7ecf\u7f51\u7edc&#034;&#034;&#034;<\/span><br \/>\n    <span class=\"token keyword\">def<\/span> <span class=\"token function\">__init__<\/span><span class=\"token punctuation\">(<\/span>self<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n        <span class=\"token builtin\">super<\/span><span class=\"token punctuation\">(<\/span>SimpleNN<span class=\"token punctuation\">,<\/span> self<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>__init__<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\n        <span class=\"token comment\"># MNIST\u56fe\u7247\u662f28&#215;28&#061;784\u4e2a\u50cf\u7d20\u70b9<\/span><br \/>\n        self<span class=\"token punctuation\">.<\/span>fc1 <span class=\"token operator\">&#061;<\/span> nn<span class=\"token punctuation\">.<\/span>Linear<span class=\"token punctuation\">(<\/span><span class=\"token number\">28<\/span><span class=\"token operator\">*<\/span><span class=\"token number\">28<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">128<\/span><span class=\"token punctuation\">)<\/span>   <span class=\"token comment\"># \u7b2c\u4e00\u5c42: 784 -&gt; 128<\/span><br \/>\n        self<span class=\"token punctuation\">.<\/span>fc2 <span class=\"token operator\">&#061;<\/span> nn<span class=\"token punctuation\">.<\/span>Linear<span class=\"token punctuation\">(<\/span><span class=\"token number\">128<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">64<\/span><span class=\"token punctuation\">)<\/span>       <span class=\"token comment\"># \u7b2c\u4e8c\u5c42: 128 -&gt; 64<\/span><br \/>\n        self<span class=\"token punctuation\">.<\/span>fc3 <span class=\"token operator\">&#061;<\/span> nn<span class=\"token punctuation\">.<\/span>Linear<span class=\"token punctuation\">(<\/span><span class=\"token number\">64<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">10<\/span><span class=\"token punctuation\">)<\/span>        <span class=\"token comment\"># \u8f93\u51fa\u5c42: 64 -&gt; 10 (0-9\u5341\u4e2a\u6570\u5b57)<\/span><br \/>\n        self<span class=\"token punctuation\">.<\/span>relu <span class=\"token operator\">&#061;<\/span> nn<span class=\"token punctuation\">.<\/span>ReLU<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span>                <span class=\"token comment\"># \u6fc0\u6d3b\u51fd\u6570<\/span><\/p>\n<p>    <span class=\"token keyword\">def<\/span> <span class=\"token function\">forward<\/span><span class=\"token punctuation\">(<\/span>self<span class=\"token punctuation\">,<\/span> x<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n        <span class=\"token comment\"># \u628a28&#215;28\u7684\u56fe\u7247\u62c9\u5e73\u6210784\u7684\u4e00\u7ef4\u5411\u91cf<\/span><br \/>\n        x <span class=\"token operator\">&#061;<\/span> x<span class=\"token punctuation\">.<\/span>view<span class=\"token punctuation\">(<\/span><span class=\"token operator\">&#8211;<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">28<\/span><span class=\"token operator\">*<\/span><span class=\"token number\">28<\/span><span class=\"token punctuation\">)<\/span><br \/>\n        <span class=\"token comment\"># \u524d\u5411\u4f20\u64ad<\/span><br \/>\n        x <span class=\"token operator\">&#061;<\/span> self<span class=\"token punctuation\">.<\/span>relu<span class=\"token punctuation\">(<\/span>self<span class=\"token punctuation\">.<\/span>fc1<span class=\"token punctuation\">(<\/span>x<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n        x <span class=\"token operator\">&#061;<\/span> self<span class=\"token punctuation\">.<\/span>relu<span class=\"token punctuation\">(<\/span>self<span class=\"token punctuation\">.<\/span>fc2<span class=\"token punctuation\">(<\/span>x<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n        x <span class=\"token operator\">&#061;<\/span> self<span class=\"token punctuation\">.<\/span>fc3<span class=\"token punctuation\">(<\/span>x<span class=\"token punctuation\">)<\/span>  <span class=\"token comment\"># \u8f93\u51fa\u5c42\u4e0d\u7528\u6fc0\u6d3b&#xff0c;\u56e0\u4e3a\u540e\u9762\u4f1a\u63a5CrossEntropyLoss<\/span><br \/>\n        <span class=\"token keyword\">return<\/span> x<\/p>\n<p><span class=\"token comment\"># \u521b\u5efa\u6a21\u578b<\/span><br \/>\nmodel <span class=\"token operator\">&#061;<\/span> SimpleNN<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>to<span class=\"token punctuation\">(<\/span>device<span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;&#x1f9e0; \u6a21\u578b\u7ed3\u6784:&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span>model<span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># &#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061; 4. \u8bbe\u7f6e\u635f\u5931\u51fd\u6570\u548c\u4f18\u5316\u5668 &#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;<\/span><br \/>\ncriterion <span class=\"token operator\">&#061;<\/span> nn<span class=\"token punctuation\">.<\/span>CrossEntropyLoss<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span>  <span class=\"token comment\"># \u4ea4\u53c9\u71b5\u635f\u5931&#xff0c;\u9002\u5408\u5206\u7c7b\u95ee\u9898<\/span><br \/>\noptimizer <span class=\"token operator\">&#061;<\/span> optim<span class=\"token punctuation\">.<\/span>Adam<span class=\"token punctuation\">(<\/span>model<span class=\"token punctuation\">.<\/span>parameters<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> lr<span class=\"token operator\">&#061;<\/span>learning_rate<span class=\"token punctuation\">)<\/span>  <span class=\"token comment\"># Adam\u4f18\u5316\u5668<\/span><\/p>\n<p><span class=\"token comment\"># &#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061; 5. \u8bad\u7ec3\u6a21\u578b &#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;&#x1f3cb;\ufe0f \u5f00\u59cb\u8bad\u7ec3&#8230;&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\nstart_time <span class=\"token operator\">&#061;<\/span> time<span class=\"token punctuation\">.<\/span>time<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token keyword\">for<\/span> epoch <span class=\"token keyword\">in<\/span> <span class=\"token builtin\">range<\/span><span class=\"token punctuation\">(<\/span>num_epochs<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    running_loss <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">0.0<\/span><br \/>\n    correct <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">0<\/span><br \/>\n    total <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">0<\/span><\/p>\n<p>    <span class=\"token comment\"># \u8bad\u7ec3\u6a21\u5f0f<\/span><br \/>\n    model<span class=\"token punctuation\">.<\/span>train<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>    <span class=\"token keyword\">for<\/span> i<span class=\"token punctuation\">,<\/span> <span class=\"token punctuation\">(<\/span>images<span class=\"token punctuation\">,<\/span> labels<span class=\"token punctuation\">)<\/span> <span class=\"token keyword\">in<\/span> <span class=\"token builtin\">enumerate<\/span><span class=\"token punctuation\">(<\/span>train_loader<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n        <span class=\"token comment\"># \u628a\u6570\u636e\u653e\u5230GPU\/CPU<\/span><br \/>\n        images<span class=\"token punctuation\">,<\/span> labels <span class=\"token operator\">&#061;<\/span> images<span class=\"token punctuation\">.<\/span>to<span class=\"token punctuation\">(<\/span>device<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> labels<span class=\"token punctuation\">.<\/span>to<span class=\"token punctuation\">(<\/span>device<span class=\"token punctuation\">)<\/span><\/p>\n<p>        <span class=\"token comment\"># \u6e05\u96f6\u68af\u5ea6<\/span><br \/>\n        optimizer<span class=\"token punctuation\">.<\/span>zero_grad<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>        <span class=\"token comment\"># \u524d\u5411\u4f20\u64ad<\/span><br \/>\n        outputs <span class=\"token operator\">&#061;<\/span> model<span class=\"token punctuation\">(<\/span>images<span class=\"token punctuation\">)<\/span><\/p>\n<p>        <span class=\"token comment\"># \u8ba1\u7b97\u635f\u5931<\/span><br \/>\n        loss <span class=\"token operator\">&#061;<\/span> criterion<span class=\"token punctuation\">(<\/span>outputs<span class=\"token punctuation\">,<\/span> labels<span class=\"token punctuation\">)<\/span><\/p>\n<p>        <span class=\"token comment\"># \u53cd\u5411\u4f20\u64ad<\/span><br \/>\n        loss<span class=\"token punctuation\">.<\/span>backward<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>        <span class=\"token comment\"># \u66f4\u65b0\u53c2\u6570<\/span><br \/>\n        optimizer<span class=\"token punctuation\">.<\/span>step<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>        <span class=\"token comment\"># \u7edf\u8ba1<\/span><br \/>\n        running_loss <span class=\"token operator\">&#043;&#061;<\/span> loss<span class=\"token punctuation\">.<\/span>item<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\n        _<span class=\"token punctuation\">,<\/span> predicted <span class=\"token operator\">&#061;<\/span> torch<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">max<\/span><span class=\"token punctuation\">(<\/span>outputs<span class=\"token punctuation\">.<\/span>data<span class=\"token punctuation\">,<\/span> <span class=\"token number\">1<\/span><span class=\"token punctuation\">)<\/span><br \/>\n        total <span class=\"token operator\">&#043;&#061;<\/span> labels<span class=\"token punctuation\">.<\/span>size<span class=\"token punctuation\">(<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">)<\/span><br \/>\n        correct <span class=\"token operator\">&#043;&#061;<\/span> <span class=\"token punctuation\">(<\/span>predicted <span class=\"token operator\">&#061;&#061;<\/span> labels<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span><span class=\"token builtin\">sum<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>item<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>        <span class=\"token comment\"># \u6bcf100\u4e2abatch\u6253\u5370\u4e00\u6b21<\/span><br \/>\n        <span class=\"token keyword\">if<\/span> <span class=\"token punctuation\">(<\/span>i <span class=\"token operator\">&#043;<\/span> <span class=\"token number\">1<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">%<\/span> <span class=\"token number\">100<\/span> <span class=\"token operator\">&#061;&#061;<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">:<\/span><br \/>\n            <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#039;  \u8f6e\u6b21 [<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>epoch<span class=\"token operator\">&#043;<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">\/<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>num_epochs<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">], \u6279\u6b21 [<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>i<span class=\"token operator\">&#043;<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">\/<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span><span class=\"token builtin\">len<\/span><span class=\"token punctuation\">(<\/span>train_loader<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">], &#039;<\/span><\/span><br \/>\n                  <span class=\"token string-interpolation\"><span class=\"token string\">f&#039;\u635f\u5931: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>loss<span class=\"token punctuation\">.<\/span>item<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">.4f<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#039;<\/span><\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>    epoch_loss <span class=\"token operator\">&#061;<\/span> running_loss <span class=\"token operator\">\/<\/span> <span class=\"token builtin\">len<\/span><span class=\"token punctuation\">(<\/span>train_loader<span class=\"token punctuation\">)<\/span><br \/>\n    epoch_acc <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">100<\/span> <span class=\"token operator\">*<\/span> correct <span class=\"token operator\">\/<\/span> total<br \/>\n    <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#039;\u2728 \u8f6e\u6b21 [<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>epoch<span class=\"token operator\">&#043;<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">\/<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>num_epochs<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">] \u5b8c\u6210 &#8211; \u5e73\u5747\u635f\u5931: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>epoch_loss<span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">.4f<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">, \u51c6\u786e\u7387: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>epoch_acc<span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">.2f<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">%&#039;<\/span><\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>end_time <span class=\"token operator\">&#061;<\/span> time<span class=\"token punctuation\">.<\/span>time<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;\u2705 \u8bad\u7ec3\u5b8c\u6210&#xff01;\u8017\u65f6: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>end_time <span class=\"token operator\">&#8211;<\/span> start_time<span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">.2f<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\"> \u79d2&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># &#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061; 6. \u6d4b\u8bd5\u6a21\u578b &#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\\\\n&#x1f9ea; \u5728\u6d4b\u8bd5\u96c6\u4e0a\u8bc4\u4f30\u6a21\u578b&#8230;&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\nmodel<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">eval<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\ncorrect <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">0<\/span><br \/>\ntotal <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">0<\/span><\/p>\n<p><span class=\"token keyword\">with<\/span> torch<span class=\"token punctuation\">.<\/span>no_grad<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span>  <span class=\"token comment\"># \u6d4b\u8bd5\u65f6\u4e0d\u9700\u8981\u8ba1\u7b97\u68af\u5ea6<\/span><br \/>\n    <span class=\"token keyword\">for<\/span> images<span class=\"token punctuation\">,<\/span> labels <span class=\"token keyword\">in<\/span> test_loader<span class=\"token punctuation\">:<\/span><br \/>\n        images<span class=\"token punctuation\">,<\/span> labels <span class=\"token operator\">&#061;<\/span> images<span class=\"token punctuation\">.<\/span>to<span class=\"token punctuation\">(<\/span>device<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> labels<span class=\"token punctuation\">.<\/span>to<span class=\"token punctuation\">(<\/span>device<span class=\"token punctuation\">)<\/span><br \/>\n        outputs <span class=\"token operator\">&#061;<\/span> model<span class=\"token punctuation\">(<\/span>images<span class=\"token punctuation\">)<\/span><br \/>\n        _<span class=\"token punctuation\">,<\/span> predicted <span class=\"token operator\">&#061;<\/span> torch<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">max<\/span><span class=\"token punctuation\">(<\/span>outputs<span class=\"token punctuation\">.<\/span>data<span class=\"token punctuation\">,<\/span> <span class=\"token number\">1<\/span><span class=\"token punctuation\">)<\/span><br \/>\n        total <span class=\"token operator\">&#043;&#061;<\/span> labels<span class=\"token punctuation\">.<\/span>size<span class=\"token punctuation\">(<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">)<\/span><br \/>\n        correct <span class=\"token operator\">&#043;&#061;<\/span> <span class=\"token punctuation\">(<\/span>predicted <span class=\"token operator\">&#061;&#061;<\/span> labels<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span><span class=\"token builtin\">sum<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>item<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>test_acc <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">100<\/span> <span class=\"token operator\">*<\/span> correct <span class=\"token operator\">\/<\/span> total<br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;&#x1f389; \u6d4b\u8bd5\u96c6\u51c6\u786e\u7387: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>test_acc<span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">.2f<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">%&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># &#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061; 7. \u5c55\u793a\u4e00\u4e9b\u9884\u6d4b\u7ed3\u679c &#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\\\\n&#x1f4f8; \u968f\u673a\u5c55\u793a\u51e0\u4e2a\u9884\u6d4b\u7ed3\u679c:&#034;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u53d6\u4e00\u4e9b\u6d4b\u8bd5\u56fe\u7247<\/span><br \/>\ndataiter <span class=\"token operator\">&#061;<\/span> <span class=\"token builtin\">iter<\/span><span class=\"token punctuation\">(<\/span>test_loader<span class=\"token punctuation\">)<\/span><br \/>\nimages<span class=\"token punctuation\">,<\/span> labels <span class=\"token operator\">&#061;<\/span> <span class=\"token builtin\">next<\/span><span class=\"token punctuation\">(<\/span>dataiter<span class=\"token punctuation\">)<\/span><br \/>\nimages<span class=\"token punctuation\">,<\/span> labels <span class=\"token operator\">&#061;<\/span> images<span class=\"token punctuation\">.<\/span>to<span class=\"token punctuation\">(<\/span>device<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> labels<span class=\"token punctuation\">.<\/span>to<span class=\"token punctuation\">(<\/span>device<span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u9884\u6d4b<\/span><br \/>\noutputs <span class=\"token operator\">&#061;<\/span> model<span class=\"token punctuation\">(<\/span>images<span class=\"token punctuation\">)<\/span><br \/>\n_<span class=\"token punctuation\">,<\/span> predicted <span class=\"token operator\">&#061;<\/span> torch<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">max<\/span><span class=\"token punctuation\">(<\/span>outputs<span class=\"token punctuation\">,<\/span> <span class=\"token number\">1<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u628a\u56fe\u7247\u8f6c\u56deCPU\u7528\u4e8e\u663e\u793a<\/span><br \/>\nimages <span class=\"token operator\">&#061;<\/span> images<span class=\"token punctuation\">.<\/span>cpu<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u663e\u793a\u524d5\u5f20<\/span><br \/>\nfig<span class=\"token punctuation\">,<\/span> axes <span class=\"token operator\">&#061;<\/span> plt<span class=\"token punctuation\">.<\/span>subplots<span class=\"token punctuation\">(<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">5<\/span><span class=\"token punctuation\">,<\/span> figsize<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">12<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">3<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">for<\/span> i <span class=\"token keyword\">in<\/span> <span class=\"token builtin\">range<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">5<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    ax <span class=\"token operator\">&#061;<\/span> axes<span class=\"token punctuation\">[<\/span>i<span class=\"token punctuation\">]<\/span><br \/>\n    <span class=\"token comment\"># \u56fe\u7247\u662f[1,28,28]&#xff0c;\u9700\u8981\u53d8\u6210[28,28]\u5e76\u53cd\u5f52\u4e00\u5316<\/span><br \/>\n    img <span class=\"token operator\">&#061;<\/span> images<span class=\"token punctuation\">[<\/span>i<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span>squeeze<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>numpy<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    img <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">(<\/span>img <span class=\"token operator\">*<\/span> <span class=\"token number\">0.5<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&#043;<\/span> <span class=\"token number\">0.5<\/span>  <span class=\"token comment\"># \u53cd\u5f52\u4e00\u5316\u56de[0,1]\u8303\u56f4<\/span><br \/>\n    ax<span class=\"token punctuation\">.<\/span>imshow<span class=\"token punctuation\">(<\/span>img<span class=\"token punctuation\">,<\/span> cmap<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#039;gray&#039;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    ax<span class=\"token punctuation\">.<\/span>set_title<span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#039;True: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>labels<span class=\"token punctuation\">[<\/span>i<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span>item<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">\\\\nPrediction: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>predicted<span class=\"token punctuation\">[<\/span>i<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span>item<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#039;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n    ax<span class=\"token punctuation\">.<\/span>axis<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;off&#039;<\/span><span class=\"token punctuation\">)<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>tight_layout<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u4fdd\u5b58\u56fe\u7247\u5230\u670d\u52a1\u5668&#xff08;\u8bfb\u8005\u53ef\u4ee5\u4e0b\u8f7d\u67e5\u770b&#xff09;<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>savefig<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;prediction_results.png&#039;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\u2705 \u9884\u6d4b\u7ed3\u679c\u56fe\u5df2\u4fdd\u5b58\u4e3a prediction_results.png&#034;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u5728\u7ec8\u7aef\u91cc\u7b80\u5355\u6253\u5370<\/span><br \/>\n<span class=\"token keyword\">for<\/span> i <span class=\"token keyword\">in<\/span> <span class=\"token builtin\">range<\/span><span class=\"token punctuation\">(<\/span><span class=\"token builtin\">min<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">5<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token builtin\">len<\/span><span class=\"token punctuation\">(<\/span>images<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;  \u56fe\u7247 <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>i<span class=\"token operator\">&#043;<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">: \u771f\u5b9e\u6807\u7b7e &#061; <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>labels<span class=\"token punctuation\">[<\/span>i<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span>item<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">, \u9884\u6d4b\u7ed3\u679c &#061; <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>predicted<span class=\"token punctuation\">[<\/span>i<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span>item<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\"> <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span><span class=\"token string\">&#039;\u2713&#039;<\/span> <span class=\"token keyword\">if<\/span> labels<span class=\"token punctuation\">[<\/span>i<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span>item<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&#061;&#061;<\/span> predicted<span class=\"token punctuation\">[<\/span>i<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span>item<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token keyword\">else<\/span> <span class=\"token string\">&#039;\u2717&#039;<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\\\\n&#x1f3af; \u606d\u559c&#xff01;\u4f60\u5df2\u7ecf\u6210\u529f\u5728AutoDL\u4e0a\u8dd1\u901a\u4e86\u7b2c\u4e00\u4e2a\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b&#xff01;&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;&#x1f4a1; \u63a5\u4e0b\u6765\u53ef\u4ee5\u5c1d\u8bd5&#xff1a;\u8c03\u6574\u7f51\u7edc\u5c42\u6570\u3001\u589e\u52a0\u8bad\u7ec3\u8f6e\u6570\u3001\u5c1d\u8bd5CNN\u6a21\u578b&#034;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260724200140-6a63c4a440a33.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" width=\"1200\" height=\"700\" \/><\/p>\n<h3>3.\u8fd0\u884c\u6a21\u578b<\/h3>\n<p>\u5148\u5c06\u670d\u52a1\u5668\u65e0\u5361\u6a21\u5f0f\u5f00\u673a\u8f6c\u4e3a\u6b63\u5e38\u5f00\u673a&#xff0c;\u8fd9\u4e2a\u8fc7\u7a0b\u8fde\u63a5\u4f1a\u4e2d\u65ad&#xff0c;\u6b63\u5e38\u5f00\u673a\u540e&#xff0c;\u5728VS Code\u9876\u90e8\u9700\u8981\u91cd\u65b0\u8f93\u5165\u5bc6\u7801&#xff0c;\u5373\u53ef\u8fde\u63a5\u6210\u529f\u3002\u5728VS Code\u7ec8\u7aef\u91cc&#xff0c;\u786e\u4fdd\u4f60\u5728\/root\/mnist_demo\u76ee\u5f55\u4e0b&#xff0c;\u7136\u540e\u6267\u884c<\/p>\n<p>python mnist_train.py<\/p>\n<p>\u8fd0\u884c\u7ed3\u679c\u5982\u4e0b <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260724200140-6a63c4a4e37dc.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" width=\"1200\" height=\"750\" \/> <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260724200141-6a63c4a589ced.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" width=\"1200\" height=\"750\" \/> \u606d\u559c\u4f60&#xff01;\u4f60\u5df2\u7ecf\u6210\u529f\u5b66\u4f1a\u4f7f\u7528\u79df\u7528\u670d\u52a1\u5668\u8dd1\u6a21\u578b\u5566&#xff01;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u624b\u628a\u624b\u6559\u4f60\u79df\u7528\u670d\u52a1\u5668\u4ee5\u53ca\u4f7f\u7528Visual Studio Code\u8fdc\u7a0b\u8fde\u63a5\u670d\u52a1\u5668\u8bad\u7ec3\u6a21\u578b\u4e00\u3001\u51c6\u5907\u5de5\u4f5c1.\u5b89\u88c5VS Code2.\u5b89\u88c5\u5fc5\u9700\u63d2\u4ef6\u4e8c\u3001\u79df\u7528\u670d\u52a1\u5668\u4e09\u3001VS Code\u8fdc\u7a0b\u8fde\u63a5\u670d\u52a1\u5668\u56db\u3001\u590d\u73b0\u6a21\u578b1.\u521b\u5efa\u865a\u62df\u73af\u58832.\u521b\u5efa\u8bad\u7ec3\u811a\u672c3.\u8fd0\u884c\u6a21\u578b\u7528\u670d\u52a1\u5668\u8bad\u7ec3\u6a21\u578b&#xff0c;\u771f\u7684\u6ca1\u6709\u60f3\u8c61\u4e2d\u90a3\u4e48\u53ef\u6015&#xff01;\u4e0d\u8981\u6050\u60e7&#xff01;\u76f8\u4fe1\u6211&#xff0c;\u6700\u591a\u53ea\u9700\u8981\u534a\u5c0f\u65f6&#xff0c;\u4f60\u4e5f\u80fd\u8f7b\u8f7b\u677e\u677e\u8dd1\u8d77\u81ea\u5df1\u7684\u6a21\u578b&#xff01;\u5982\u679c\u4f60\u770b\u8fc7\u6211\u4e4b\u524d\u90a3\u7bc7\u300a\u624b\u628a\u624b\u6559\u4f60\u79df\u7528\u670d\u52a1\u5668\u4ee5\u53ca\u4f7f\u7528<\/p>\n","protected":false},"author":2,"featured_media":81708,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[607,81,371,43,305],"topic":[],"class_list":["post-81726","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-autodl","tag-python","tag-371","tag-43","tag-305"],"yoast_head":"<!-- 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