{"id":64195,"date":"2026-01-22T23:40:36","date_gmt":"2026-01-22T15:40:36","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/64195.html"},"modified":"2026-01-22T23:40:36","modified_gmt":"2026-01-22T15:40:36","slug":"ssh%e8%bf%9e%e6%8e%a5%e8%b6%85%e6%97%b6%e5%a4%84%e7%90%86%ef%bc%9a%e7%a8%b3%e5%ae%9a%e8%ae%bf%e9%97%ae%e8%bf%9c%e7%a8%8bgpu%e7%ae%97%e5%8a%9b%e6%9c%8d%e5%8a%a1%e5%99%a8%e6%8a%80%e5%b7%a7","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/64195.html","title":{"rendered":"SSH\u8fde\u63a5\u8d85\u65f6\u5904\u7406\uff1a\u7a33\u5b9a\u8bbf\u95ee\u8fdc\u7a0bGPU\u7b97\u529b\u670d\u52a1\u5668\u6280\u5de7"},"content":{"rendered":"<h2>SSH\u8fde\u63a5\u8d85\u65f6\u5904\u7406&#xff1a;\u7a33\u5b9a\u8bbf\u95ee\u8fdc\u7a0bGPU\u7b97\u529b\u670d\u52a1\u5668\u6280\u5de7<\/h2>\n<p>\u5728\u6df1\u5ea6\u5b66\u4e60\u9879\u76ee\u4e2d&#xff0c;\u4f60\u662f\u5426\u7ecf\u5386\u8fc7\u8fd9\u6837\u7684\u573a\u666f&#xff1a;\u8bad\u7ec3\u5230\u7b2c38\u4e2aepoch\u65f6\u7a81\u7136\u65ad\u7f51&#xff0c;SSH\u4f1a\u8bdd\u4e2d\u65ad&#xff0c;\u7ec8\u7aef\u8fdb\u7a0b\u88ab\u6302\u8d77\u2014\u2014\u51e0\u5929\u7684\u8bad\u7ec3\u6210\u679c\u77ac\u95f4\u5f52\u96f6&#xff1f;\u8fd9\u5e76\u975e\u4e2a\u4f8b\u3002\u968f\u7740AI\u6a21\u578b\u89c4\u6a21\u4e0d\u65ad\u81a8\u80c0&#xff0c;\u672c\u5730\u8bbe\u5907\u65e9\u5df2\u65e0\u6cd5\u627f\u8f7d\u52a8\u8f84\u6570\u767eGB\u663e\u5b58\u9700\u6c42\u7684\u8bad\u7ec3\u4efb\u52a1&#xff0c;\u8d8a\u6765\u8d8a\u591a\u5f00\u53d1\u8005\u4f9d\u8d56\u4e91\u7aef\u6216\u96c6\u7fa4\u4e2d\u7684\u8fdc\u7a0bGPU\u670d\u52a1\u5668\u3002\u800c\u5728\u8fd9\u6761\u901a\u5f80\u9ad8\u6027\u80fd\u8ba1\u7b97\u7684\u8def\u4e0a&#xff0c;\u6700\u8106\u5f31\u7684\u4e00\u73af\u5f80\u5f80\u4e0d\u662f\u786c\u4ef6&#xff0c;\u800c\u662f\u90a3\u6839\u770b\u4e0d\u89c1\u7684SSH\u8fde\u63a5\u7ebf\u3002<\/p>\n<hr \/>\n<h3>\u4e3a\u4ec0\u4e48\u4f60\u7684\u8bad\u7ec3\u603b\u5728\u5173\u952e\u65f6\u523b\u6389\u7ebf&#xff1f;<\/h3>\n<p>\u5f88\u591a\u4eba\u4ee5\u4e3a\u53ea\u8981\u4ee3\u7801\u8dd1\u8d77\u6765\u4e86\u5c31\u4e07\u4e8b\u5927\u5409&#xff0c;\u5374\u5ffd\u7565\u4e86\u5e95\u5c42\u8fde\u63a5\u673a\u5236\u7684\u7a33\u5b9a\u6027\u3002SSH\u867d\u7136\u5b89\u5168\u53ef\u9760&#xff0c;\u4f46\u672c\u8d28\u4e0a\u662f\u4e00\u4e2a\u201c\u4f1a\u8bdd\u578b\u201d\u534f\u8bae&#xff0c;\u9ed8\u8ba4\u884c\u4e3a\u662f&#xff1a;\u4e00\u65e6\u68c0\u6d4b\u4e0d\u5230\u6d3b\u52a8&#xff0c;\u5c31\u4f1a\u5173\u95ed\u8fde\u63a5\u3002<\/p>\n<p>\u60f3\u8c61\u4e00\u4e0b&#xff0c;\u4f60\u5728\u8fd0\u884c\u4e00\u4e2aPyTorch\u8bad\u7ec3\u811a\u672c&#xff0c;\u524d\u51e0\u5206\u949f\u8f93\u51fa\u5927\u91cf\u65e5\u5fd7&#xff0c;\u4e4b\u540e\u8fdb\u5165\u5b89\u9759\u7684\u8fed\u4ee3\u9636\u6bb5\u3002\u6b64\u65f6\u6ca1\u6709\u952e\u76d8\u8f93\u5165\u3001\u4e5f\u6ca1\u6709\u5b9e\u65f6\u8f93\u51fa\u5237\u65b0&#xff0c;\u7f51\u7edc\u4e2d\u95f4\u8bbe\u5907&#xff08;\u5982\u4f01\u4e1a\u9632\u706b\u5899\u3001\u4e91\u8d1f\u8f7d\u5747\u8861\u5668&#xff09;\u4fbf\u4f1a\u5c06\u5176\u5224\u5b9a\u4e3a\u201c\u7a7a\u95f2\u8fde\u63a5\u201d&#xff0c;\u901a\u5e38\u57285~15\u5206\u949f\u5185\u4e3b\u52a8\u5207\u65ad\u3002\u66f4\u7cdf\u7cd5\u7684\u662f&#xff0c;\u7b14\u8bb0\u672c\u4f11\u7720\u3001Wi-Fi\u5207\u6362\u3001\u751a\u81f3\u77ed\u6682\u4fe1\u53f7\u6ce2\u52a8\u90fd\u53ef\u80fd\u5bfc\u81f4TCP\u8fde\u63a5\u4e2d\u65ad&#xff0c;\u800c\u670d\u52a1\u5668\u7aef\u53ef\u80fd\u8981\u51e0\u5341\u79d2\u751a\u81f3\u51e0\u5206\u949f\u540e\u624d\u611f\u77e5\u5230\u5f02\u5e38\u3002<\/p>\n<p>\u8fd9\u7c7b\u95ee\u9898\u5728\u4f7f\u7528python train.py\u8fd9\u7c7b\u957f\u5468\u671f\u4efb\u52a1\u65f6\u5c24\u4e3a\u81f4\u547d\u3002\u4e00\u65e6\u8fde\u63a5\u65ad\u5f00&#xff0c;shell\u4f1a\u8bdd\u7ec8\u6b62&#xff0c;\u6240\u6709\u524d\u53f0\u8fdb\u7a0b\u90fd\u4f1a\u6536\u5230SIGHUP\u4fe1\u53f7\u800c\u9000\u51fa\u2014\u2014\u8fd9\u610f\u5473\u7740\u4f60\u7684\u6a21\u578b\u8bad\u7ec3\u621b\u7136\u800c\u6b62&#xff0c;\u8fdecheckpoint\u90fd\u6ca1\u6765\u5f97\u53ca\u4fdd\u5b58\u3002<\/p>\n<hr \/>\n<h3>PyTorch-CUDA\u955c\u50cf&#xff1a;\u4e0d\u53ea\u662f\u9884\u88c5\u73af\u5883\u90a3\u4e48\u7b80\u5355<\/h3>\n<p>\u9762\u5bf9\u590d\u6742\u7684\u6df1\u5ea6\u5b66\u4e60\u73af\u5883\u914d\u7f6e&#xff0c;\u624b\u52a8\u5b89\u88c5PyTorch\u3001CUDA\u3001cuDNN\u53ca\u5176\u7248\u672c\u5339\u914d\u582a\u79f0\u4e00\u573a\u5669\u68a6\u3002\u7a0d\u6709\u4e0d\u614e&#xff0c;\u201cImportError: CUDA not available\u201d\u5c31\u80fd\u8ba9\u4f60\u6d6a\u8d39\u534a\u5929\u65f6\u95f4\u6392\u67e5\u9a71\u52a8\u517c\u5bb9\u6027\u95ee\u9898\u3002<\/p>\n<p>\u8fd9\u65f6\u5019&#xff0c;\u50cf PyTorch-CUDA-v2.8 \u8fd9\u6837\u7684\u5bb9\u5668\u5316\u955c\u50cf\u5c31\u6210\u4e86\u6551\u547d\u7a3b\u8349\u3002\u5b83\u4e0d\u4ec5\u4ec5\u662f\u628a\u51e0\u4e2a\u5e93\u6253\u5305\u5728\u4e00\u8d77&#xff0c;\u800c\u662f\u4e00\u79cd\u5de5\u7a0b\u7ea7\u7684\u6700\u4f73\u5b9e\u8df5\u5c01\u88c5&#xff1a;<\/p>\n<ul>\n<li>\u57fa\u4e8e\u5b98\u65b9NVIDIA NGC\u955c\u50cf\u6784\u5efa&#xff0c;\u786e\u4fddCUDA\u4e0ecuDNN\u7248\u672c\u4e25\u683c\u5bf9\u9f50&#xff1b;<\/li>\n<li>\u96c6\u6210Jupyter Lab\u3001pip\u3001conda\u7b49\u5f00\u53d1\u5de5\u5177&#xff0c;\u652f\u6301\u4ea4\u4e92\u5f0f\u8c03\u8bd5&#xff1b;<\/li>\n<li>\u5229\u7528NVIDIA Container Toolkit\u5b9e\u73b0GPU\u76f4\u901a&#xff0c;\u5bb9\u5668\u5185\u53ef\u76f4\u63a5\u8c03\u7528nvidia-smi\u548ctorch.cuda.is_available()&#xff1b;<\/li>\n<li>\u652f\u6301\u591a\u5361\u5e76\u884c\u8bad\u7ec3&#xff08;DDP&#xff09;&#xff0c;\u9002\u5408\u5927\u89c4\u6a21\u5206\u5e03\u5f0f\u4efb\u52a1\u3002<\/li>\n<\/ul>\n<p>\u66f4\u91cd\u8981\u7684\u662f&#xff0c;\u8fd9\u79cd\u955c\u50cf\u63d0\u4f9b\u4e86\u4e00\u79cd\u73af\u5883\u4e00\u81f4\u6027\u4fdd\u969c\u3002\u65e0\u8bba\u4f60\u5728\u963f\u91cc\u4e91\u3001AWS\u8fd8\u662f\u672c\u5730HPC\u96c6\u7fa4\u4e0a\u542f\u52a8\u8be5\u5bb9\u5668&#xff0c;\u8fd0\u884c\u7ed3\u679c\u7406\u8bba\u4e0a\u5e94\u5b8c\u5168\u4e00\u81f4&#xff0c;\u6781\u5927\u63d0\u5347\u4e86\u5b9e\u9a8c\u7684\u53ef\u590d\u73b0\u6027\u3002<\/p>\n<p>\u4e0b\u9762\u8fd9\u6bb5\u4ee3\u7801\u51e0\u4e4e\u662f\u6bcf\u4e2a\u8fdb\u5bb9\u5668\u540e\u7684\u7b2c\u4e00\u9053\u201c\u5065\u5eb7\u68c0\u67e5\u201d&#xff1a;<\/p>\n<p>import torch<\/p>\n<p>if torch.cuda.is_available():<br \/>\n    print(&#034;CUDA is available&#034;)<br \/>\n    print(f&#034;Number of GPUs: {torch.cuda.device_count()}&#034;)<br \/>\n    print(f&#034;Current GPU: {torch.cuda.get_device_name(torch.cuda.current_device())}&#034;)<br \/>\nelse:<br \/>\n    print(&#034;CUDA not available &#8211; running on CPU&#034;)<\/p>\n<p>x &#061; torch.rand(1000, 1000).cuda()<br \/>\ny &#061; torch.rand(1000, 1000).cuda()<br \/>\nz &#061; torch.mm(x, y)<\/p>\n<p>print(f&#034;Matrix multiplication completed on GPU: {z.device}&#034;)<\/p>\n<p>\u522b\u5c0f\u770b\u8fd9\u51e0\u884c&#xff0c;\u5b83\u4eec\u9a8c\u8bc1\u4e86\u4ece\u9a71\u52a8\u52a0\u8f7d\u3001\u5185\u5b58\u5206\u914d\u5230\u5f20\u91cf\u8fd0\u7b97\u7684\u5b8c\u6574\u94fe\u8def\u3002\u53ea\u6709\u5f53z.device\u663e\u793a\u4e3acuda:0\u65f6&#xff0c;\u4f60\u624d\u80fd\u771f\u6b63\u653e\u5fc3\u5730\u63d0\u4ea4\u8bad\u7ec3\u4efb\u52a1\u3002<\/p>\n<hr \/>\n<h3>SSH\u4fdd\u6d3b\u673a\u5236&#xff1a;\u4ece\u88ab\u52a8\u9632\u5fa1\u5230\u4e3b\u52a8\u5b88\u62a4<\/h3>\n<p>\u89e3\u51b3\u8fde\u63a5\u4e2d\u65ad\u7684\u6838\u5fc3\u601d\u8def\u6709\u4e24\u4e2a\u65b9\u5411&#xff1a;\u4e00\u662f\u9632\u6b62\u8fde\u63a5\u88ab\u65ad&#xff0c;\u4e8c\u662f\u8ba9\u4efb\u52a1\u4e0d\u4f9d\u8d56\u8fde\u63a5\u3002<\/p>\n<h4>\u5ba2\u6237\u7aef\u914d\u7f6e&#xff1a;\u8ba9\u8fde\u63a5\u201c\u5047\u88c5\u6d3b\u8dc3\u201d<\/h4>\n<p>\u6700\u7b80\u5355\u6709\u6548\u7684\u9884\u9632\u63aa\u65bd\u662f\u5728\u672c\u5730SSH\u914d\u7f6e\u4e2d\u542f\u7528\u4fdd\u6d3b\u63a2\u6d4b\u3002\u7f16\u8f91 ~\/.ssh\/config \u6587\u4ef6&#xff1a;<\/p>\n<p>Host gpu-server<br \/>\n    HostName 192.168.1.100<br \/>\n    User your_username<br \/>\n    Port 22<br \/>\n    ServerAliveInterval 60<br \/>\n    ServerAliveCountMax 3<br \/>\n    TCPKeepAlive yes<\/p>\n<p>\u8fd9\u91cc\u7684 ServerAliveInterval 60 \u8868\u793a\u5ba2\u6237\u7aef\u6bcf60\u79d2\u5411\u670d\u52a1\u5668\u53d1\u9001\u4e00\u6b21\u7a7a\u5305&#xff0c;\u6a21\u62df\u7f51\u7edc\u6d3b\u52a8\u3002\u5373\u4f7f\u4f60\u6b63\u5728\u5199\u8bba\u6587\u3001\u559d\u5496\u5561\u3001\u751a\u81f3\u7535\u8111\u7761\u7720\u524d&#xff0c;\u8fd9\u6761\u5fc3\u8df3\u4ecd\u5728\u7ef4\u6301\u8fde\u63a5\u5b58\u6d3b\u3002<\/p>\n<p>\u6ce8\u610f\u4e0d\u8981\u8bbe\u5f97\u592a\u77ed&#xff08;\u598210\u79d2&#xff09;&#xff0c;\u5426\u5219\u4f1a\u589e\u52a0\u4e0d\u5fc5\u8981\u7684\u7f51\u7edc\u6d41\u91cf&#xff1b;\u4e5f\u4e0d\u8981\u592a\u957f&#xff08;\u8d85\u8fc7120\u79d2&#xff09;&#xff0c;\u5426\u5219\u53ef\u80fd\u8d76\u4e0d\u4e0a\u67d0\u4e9b\u4e91\u5e73\u53f0\u76845\u5206\u949f\u6e05\u7406\u7b56\u7565\u3002<\/p>\n<h4>\u670d\u52a1\u7aef\u8bbe\u7f6e&#xff1a;\u7edf\u4e00\u7ba1\u7406\u66f4\u9ad8\u6548<\/h4>\n<p>\u5982\u679c\u4f60\u662f\u56e2\u961f\u7ba1\u7406\u5458\u6216\u62e5\u6709\u670d\u52a1\u5668\u6743\u9650&#xff0c;\u5efa\u8bae\u5728 \/etc\/ssh\/sshd_config \u4e2d\u7edf\u4e00\u5f00\u542f\u670d\u52a1\u7aef\u63a2\u6d4b&#xff1a;<\/p>\n<p>ClientAliveInterval 60<br \/>\nClientAliveCountMax 3<\/p>\n<p>\u91cd\u542f\u670d\u52a1\u5373\u53ef\u751f\u6548&#xff1a;<\/p>\n<p>sudo systemctl restart sshd<\/p>\n<p>\u8fd9\u79cd\u65b9\u5f0f\u66f4\u9002\u5408\u591a\u4eba\u5171\u7528\u7684GPU\u670d\u52a1\u5668\u73af\u5883&#xff0c;\u7531\u4e2d\u5fc3\u8282\u70b9\u4e3b\u52a8\u7ef4\u62a4\u8fde\u63a5\u72b6\u6001&#xff0c;\u907f\u514d\u4e2a\u522b\u7528\u6237\u56e0\u914d\u7f6e\u7f3a\u5931\u5bfc\u81f4\u4efb\u52a1\u5931\u8d25\u3002<\/p>\n<table>\n<tr>\u53c2\u6570\u542b\u4e49<\/tr>\n<tbody>\n<tr>\n<td>ClientAliveInterval<\/td>\n<td>\u670d\u52a1\u5668\u6bcf\u9694\u591a\u5c11\u79d2\u95ee\u4e00\u6b21\u201c\u4f60\u8fd8\u6d3b\u7740\u5417&#xff1f;\u201d<\/td>\n<\/tr>\n<tr>\n<td>ClientAliveCountMax<\/td>\n<td>\u6700\u591a\u91cd\u8bd5\u51e0\u6b21\u6ca1\u56de\u5e94\u5c31\u65ad\u5f00<\/td>\n<\/tr>\n<tr>\n<td>TCPKeepAlive<\/td>\n<td>\u662f\u5426\u542f\u7528\u5e95\u5c42TCP\u4fdd\u6d3b\u673a\u5236<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u26a0\ufe0f \u63d0\u793a&#xff1a;\u90e8\u5206\u4e91\u670d\u52a1\u5546&#xff08;\u5982AWS EC2\u3001Google Cloud VM&#xff09;\u9ed8\u8ba4\u7981\u7528\u4e86\u8fd9\u4e9b\u9009\u9879&#xff0c;\u9700\u624b\u52a8\u5f00\u542f\u3002<\/p>\n<hr \/>\n<h3>\u771f\u6b63\u53ef\u9760\u7684\u65b9\u6848&#xff1a;\u89e3\u8026\u4efb\u52a1\u4e0e\u4f1a\u8bdd<\/h3>\n<p>\u5373\u4fbf\u505a\u4e86\u4fdd\u6d3b&#xff0c;\u4e5f\u4e0d\u80fd\u4fdd\u8bc1100%\u4e0d\u65ad\u7ebf\u3002\u771f\u6b63\u7684\u9ad8\u53ef\u7528\u505a\u6cd5\u662f&#xff1a;\u8ba9\u8bad\u7ec3\u4efb\u52a1\u8131\u79bbSSH\u4f1a\u8bdd\u751f\u5b58\u3002<\/p>\n<h4>\u4f7f\u7528 tmux \u5b9e\u73b0\u4f1a\u8bdd\u6301\u4e45\u5316<\/h4>\n<p>tmux \u662f\u7ec8\u7aef\u590d\u7528\u5668\u4e2d\u7684\u745e\u58eb\u519b\u5200\u3002\u5b83\u7684\u6838\u5fc3\u4ef7\u503c\u5728\u4e8e\u2014\u2014\u8fdb\u7a0b\u72ec\u7acb\u4e8eSSH\u5b58\u5728\u3002<\/p>\n<p>\u57fa\u672c\u64cd\u4f5c\u6d41\u7a0b\u5982\u4e0b&#xff1a;<\/p>\n<p># \u5b89\u88c5 tmux&#xff08;Ubuntu\/Debian&#xff09;<br \/>\nsudo apt install tmux<\/p>\n<p># \u521b\u5efa\u540e\u53f0\u4f1a\u8bdd\u8fd0\u884c\u8bad\u7ec3<br \/>\ntmux new-session -d -s train_session &#034;python train.py&#034;<\/p>\n<p># \u67e5\u770b\u5f53\u524d\u6240\u6709\u4f1a\u8bdd<br \/>\ntmux ls<\/p>\n<p># \u6062\u590d\u5230\u6307\u5b9a\u4f1a\u8bdd<br \/>\ntmux attach-session -t train_session<\/p>\n<p>\u5f53\u4f60\u6267\u884c tmux new-session -d \u65f6&#xff0c;\u76f8\u5f53\u4e8e\u5728\u4e00\u4e2a\u201c\u865a\u62df\u7ec8\u7aef\u201d\u91cc\u542f\u52a8\u4e86Python\u8fdb\u7a0b\u3002\u5373\u4f7f\u4f60\u65ad\u5f00SSH&#xff0c;\u8fd9\u4e2a\u865a\u62df\u7ec8\u7aef\u4f9d\u7136\u5728\u8fd0\u884c\u3002\u4e0b\u6b21\u767b\u5f55\u540e&#xff0c;\u53ea\u9700 attach \u56de\u53bb&#xff0c;\u5c31\u80fd\u770b\u5230\u5b8c\u6574\u7684\u8f93\u51fa\u65e5\u5fd7&#xff0c;\u5c31\u50cf\u4ece\u672a\u79bb\u5f00\u8fc7\u3002<\/p>\n<p>\u66f4\u8fdb\u4e00\u6b65&#xff0c;\u4f60\u53ef\u4ee5\u5c06\u591a\u4e2a\u4efb\u52a1\u5206\u5c4f\u7ba1\u7406&#xff1a;<\/p>\n<p># \u5206\u5c4f\u4e0a\u4e0b\u5e03\u5c40<br \/>\ntmux split-window -v<\/p>\n<p># \u5206\u5c4f\u5de6\u53f3\u5e03\u5c40<br \/>\ntmux split-window -h<\/p>\n<p># \u5728\u4e0d\u540c\u7a97\u683c\u95f4\u5207\u6362<br \/>\nCtrl&#043;b \u2192 \u65b9\u5411\u952e<\/p>\n<h4>\u66ff\u4ee3\u65b9\u6848&#xff1a;nohup &#043; \u65e5\u5fd7\u91cd\u5b9a\u5411<\/h4>\n<p>\u5bf9\u4e8e\u8f7b\u91cf\u7ea7\u4efb\u52a1&#xff0c;\u4e5f\u53ef\u4ee5\u4f7f\u7528\u7ecf\u5178\u7684 nohup \u7ec4\u5408&#xff1a;<\/p>\n<p>nohup python train.py &gt; training.log 2&gt;&amp;1 &amp;<br \/>\necho $! &gt; pid.txt<\/p>\n<ul>\n<li>nohup \u5ffd\u7565\u6302\u65ad\u4fe1\u53f7&#xff08;SIGHUP&#xff09;&#xff0c;\u4fdd\u8bc1\u8fdb\u7a0b\u7ee7\u7eed\u8fd0\u884c&#xff1b;<\/li>\n<li>\u8f93\u51fa\u91cd\u5b9a\u5411\u81f3\u6587\u4ef6&#xff0c;\u4fbf\u4e8e\u540e\u7eed\u5206\u6790&#xff1b;<\/li>\n<li>$! \u83b7\u53d6\u6700\u540e\u542f\u52a8\u7684\u540e\u53f0\u8fdb\u7a0bID&#xff0c;\u65b9\u4fbf\u540e\u671f kill \u6216\u76d1\u63a7\u3002<\/li>\n<\/ul>\n<p>\u867d\u7136\u4e0d\u5982 tmux \u7075\u6d3b&#xff0c;\u4f46\u5728\u811a\u672c\u81ea\u52a8\u5316\u6216CI\u73af\u5883\u4e2d\u4ecd\u5e7f\u6cdb\u4f7f\u7528\u3002<\/p>\n<hr \/>\n<h3>\u5178\u578b\u7cfb\u7edf\u67b6\u6784\u4e0e\u5de5\u4f5c\u6d41\u8bbe\u8ba1<\/h3>\n<p>\u73b0\u4ee3\u8fdc\u7a0bAI\u5f00\u53d1\u901a\u5e38\u9075\u5faa\u5982\u4e0b\u67b6\u6784\u6a21\u5f0f&#xff1a;<\/p>\n<p>[\u672c\u5730PC]<br \/>\n   \u2502 SSH (port 22)<br \/>\n   \u25bc<br \/>\n[\u8fdc\u7a0bGPU\u670d\u52a1\u5668] \u2190\u2500\u2510<br \/>\n   \u251c\u2500\u2500 Docker Engine<br \/>\n   \u2514\u2500\u2500 NVIDIA Driver \u2192 [GPU Hardware]<br \/>\n         \u2191<br \/>\n   [PyTorch-CUDA-v2.8 \u955c\u50cf\u5bb9\u5668]<br \/>\n         \u2191<br \/>\n   Jupyter \/ Python CLI \/ tmux session<\/p>\n<p>\u5177\u4f53\u5de5\u4f5c\u6d41\u53ef\u4ee5\u5f52\u7eb3\u4e3a\u516d\u6b65\u6cd5&#xff1a;<\/p>\n<li>SSH\u767b\u5f55\u8fdc\u7a0b\u4e3b\u673a&#xff1b;<\/li>\n<li>\u542f\u52a8Docker\u5bb9\u5668\u5e76\u6302\u8f7d\u6570\u636e\u5377&#xff1b;<\/li>\n<li>\u8fdb\u5165\u5bb9\u5668\u540e\u521b\u5efatmux\u4f1a\u8bdd&#xff1b;<\/li>\n<li>\u5728\u4f1a\u8bdd\u4e2d\u8fd0\u884c\u8bad\u7ec3\u811a\u672c&#xff1b;<\/li>\n<li>\u65ad\u5f00\u8fde\u63a5\u53bb\u505a\u5176\u4ed6\u4e8b&#xff1b;<\/li>\n<li>\u968f\u65f6\u91cd\u65b0\u8fde\u63a5\u5e76\u6062\u590d\u4f1a\u8bdd\u67e5\u770b\u8fdb\u5ea6\u3002<\/li>\n<p>\u4e3e\u4e2a\u5b9e\u9645\u4f8b\u5b50&#xff1a;<\/p>\n<p># \u542f\u52a8\u5bb9\u5668\u5e76\u6620\u5c04\u7aef\u53e3<br \/>\ndocker run -it &#8211;gpus all \\\\<br \/>\n  -v $(pwd)\/data:\/workspace\/data \\\\<br \/>\n  -v $(pwd)\/checkpoints:\/workspace\/checkpoints \\\\<br \/>\n  &#8211;name pt-train \\\\<br \/>\n  pytorch-cuda:v2.8 bash<\/p>\n<p># \u5bb9\u5668\u5185\u64cd\u4f5c<br \/>\ntmux new-session -s resnet50_train &#034;python train_resnet.py &#8211;epochs 100&#034;<\/p>\n<p>\u8fd9\u6837\u5373\u4f7f\u4f60\u5173\u673a\u56de\u5bb6&#xff0c;\u7b2c\u4e8c\u5929\u4e0a\u73ed\u6253\u5f00\u7ec8\u7aef&#xff0c;\u4e00\u6761\u547d\u4ee4\u5c31\u80fd\u56de\u5230\u6628\u665a\u7684\u8bad\u7ec3\u753b\u9762&#xff1a;<\/p>\n<p>ssh gpu-server<br \/>\ndocker exec -it pt-train bash<br \/>\ntmux attach-session -t resnet50_train<\/p>\n<hr \/>\n<h3>\u5de5\u7a0b\u6700\u4f73\u5b9e\u8df5\u4e0e\u907f\u5751\u6307\u5357<\/h3>\n<h4>1. \u4e0d\u8981\u88f8\u8dd1\u8bad\u7ec3\u811a\u672c<\/h4>\n<p>\u6c38\u8fdc\u4e0d\u8981\u76f4\u63a5\u5728\u7ec8\u7aef\u6572 python train.py \u5c31\u8d70\u4eba\u3002\u54ea\u6015\u4f60\u89c9\u5f97\u7f51\u7edc\u5f88\u7a33&#xff0c;\u4e5f\u8981\u517b\u6210\u4f7f\u7528 tmux \u6216 screen \u7684\u4e60\u60ef\u3002\u8fd9\u662f\u533a\u5206\u65b0\u624b\u4e0e\u8001\u624b\u7684\u91cd\u8981\u6807\u5fd7\u4e4b\u4e00\u3002<\/p>\n<h4>2. \u5408\u7406\u63a7\u5236\u4fdd\u6d3b\u9891\u7387<\/h4>\n<p>ServerAliveInterval \u8bbe\u4e3a60\u79d2\u662f\u4e2a\u9ec4\u91d1\u5e73\u8861\u70b9\u3002\u592a\u9891\u7e41\u4f1a\u5f71\u54cd\u4f4e\u5e26\u5bbd\u7f51\u7edc\u4f53\u9a8c&#xff0c;\u95f4\u9694\u8fc7\u957f\u5219\u5931\u53bb\u610f\u4e49\u3002\u82e5\u6240\u5728\u7f51\u7edc\u7279\u522b\u4e0d\u7a33\u5b9a&#xff0c;\u53ef\u9002\u5f53\u4e0b\u8c03\u81f330\u79d2\u3002<\/p>\n<h4>3. \u65e5\u5fd7\u5fc5\u987b\u843d\u5730\u6587\u4ef6<\/h4>\n<p>\u4ec5\u9760\u7ec8\u7aef\u8f93\u51fa\u8fdc\u8fdc\u4e0d\u591f\u3002\u52a1\u5fc5\u914d\u5408\u65e5\u5fd7\u8bb0\u5f55\u6846\u67b6&#xff08;\u5982logging\u6a21\u5757&#xff09;\u5c06\u5173\u952e\u4fe1\u606f\u5199\u5165\u78c1\u76d8&#xff0c;\u5e76\u5b9a\u671f\u5907\u4efd\u3002\u63a8\u8350\u683c\u5f0f\u5305\u542b\u65f6\u95f4\u6233\u3001loss\u503c\u3001\u5b66\u4e60\u7387\u3001GPU\u5229\u7528\u7387\u7b49&#xff1a;<\/p>\n<p>import logging<br \/>\nlogging.basicConfig(filename&#061;&#039;training.log&#039;, level&#061;logging.INFO)<br \/>\nlogging.info(f&#034;Epoch {epoch}, Loss: {loss.item():.4f}, LR: {lr}&#034;)<\/p>\n<h4>4. \u591a\u4eba\u534f\u4f5c\u4e0b\u7684\u8d44\u6e90\u9694\u79bb<\/h4>\n<p>\u5728\u5171\u4eab\u670d\u52a1\u5668\u73af\u5883\u4e0b&#xff0c;\u9664\u4e86\u7528tmux\u9694\u79bb\u4f1a\u8bdd\u5916&#xff0c;\u8fd8\u5e94\u901a\u8fc7Docker\u9650\u5236\u8d44\u6e90\u4f7f\u7528&#xff1a;<\/p>\n<p>&#8211;memory&#061;16g &#8211;memory-swap&#061;16g &#8211;gpus &#039;&#034;device&#061;0&#034;&#039; <\/p>\n<p>\u9632\u6b62\u67d0\u4e2a\u7528\u6237\u5360\u6ee1\u663e\u5b58\u5f71\u54cd\u4ed6\u4eba\u4efb\u52a1\u3002<\/p>\n<h4>5. \u5b89\u5168\u52a0\u56fa\u4e0d\u53ef\u5ffd\u89c6<\/h4>\n<ul>\n<li>\u7981\u7528root\u767b\u5f55&#xff1a;\u4fee\u6539 \/etc\/ssh\/sshd_config \u8bbe\u7f6e PermitRootLogin no<\/li>\n<li>\u5f3a\u5236\u5bc6\u94a5\u8ba4\u8bc1&#xff1a;\u5173\u95ed\u5bc6\u7801\u767b\u5f55&#xff0c;\u63d0\u5347\u5b89\u5168\u6027<\/li>\n<li>\u9650\u5236IP\u8bbf\u95ee&#xff1a;\u901a\u8fc7\u4e91\u5e73\u53f0\u5b89\u5168\u7ec4\u53ea\u5141\u8bb8\u53ef\u4fe1IP\u8fde\u63a522\u7aef\u53e3<\/li>\n<li>\u5b9a\u671f\u66f4\u65b0\u955c\u50cf&#xff1a;\u4fee\u590d\u5df2\u77e5\u6f0f\u6d1e&#xff0c;\u907f\u514d\u88ab\u6316\u77ff\u7a0b\u5e8f\u5165\u4fb5<\/li>\n<\/ul>\n<hr 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