{"id":7366,"date":"2022-10-11T10:50:19","date_gmt":"2022-10-11T02:50:19","guid":{"rendered":"https:\/\/egonlin.com\/?p=7366"},"modified":"2022-10-12T17:57:36","modified_gmt":"2022-10-12T09:57:36","slug":"06-%e5%ae%b9%e5%99%a8%e5%86%85%e5%a6%82%e4%bd%95%e4%bd%bf%e7%94%a8gpu","status":"publish","type":"post","link":"https:\/\/egonlin.com\/?p=7366","title":{"rendered":"06 \u5bb9\u5668\u5185\u5982\u4f55\u4f7f\u7528gpu"},"content":{"rendered":"<h1>\u4e00\u3001cpu\u4e0egpu\u7684\u533a\u522b<\/h1>\n<p>cpu\uff1a\u64c5\u957f\u903b\u8f91\u63a7\u5236\uff0c\u4e32\u884c\u7684\u8fd0\u7b97\uff0ccpu\u5c31\u597d\u50cf\u662f\u4e00\u4e2a\u5389\u5bb3\u7684\u8001\u535a\u58eb\uff0c\u4efb\u4f55\u590d\u6742\u7684\u6570\u5b66\u9898\u90fd\u4f1a<\/p>\n<p>gpu\uff1a\u64c5\u957f\u5927\u89c4\u6a21\u5e76\u53d1\u8ba1\u7b97\uff0cgpu\u5c31\u597d\u50cf\u662f\u4e00\u7fa4\u53ea\u4f1a\u7b80\u5355\u52a0\u51cf\u6cd5\u7684\u5c0f\u5b66\u751f\uff0c\u6bcf\u4e2a\u5c0f\u5b66\u751f\u90fd\u53ea\u80fd\u7b97\u7b80\u5355\u7684\u9898\u76ee\uff0c\u4f46\u662fgpu\u662f\u7ec4\u7ec7\u4e86\u4e00\u5927\u7fa4\u5c0f\u5b66\u751f\u4e00\u8d77\u6765\u7b97<\/p>\n<p>\u73b0\u5b9e\u573a\u666f\uff0c\u6bd4\u5982\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u56fe\u50cf\u8bc6\u522b\uff0c\u9700\u8981\u7684\u4e0d\u662f\u5927\u91cf\u590d\u6742\u7684\u903b\u8f91\u5224\u65ad\u4e0e\u8fd0\u7b97\uff0c\u800c\u662f\u5927\u91cf\u7684\u7b80\u5355\u8fd0\u7b97\uff0c\u6b64\u65f6cpu\u5c31\u4e0d\u597d\u7528\u4e86\uff0cgpu\u6700\u5408\u9002<\/p>\n<blockquote>\n<p>GPU\u7684\u5de5\u4f5c\u5927\u90e8\u5206\u5c31\u662f\u8fd9\u6837\uff0c\u8ba1\u7b97\u91cf\u5927\uff0c\u4f46\u6ca1\u4ec0\u4e48\u6280\u672f\u542b\u91cf\uff0c\u800c\u4e14\u8981\u91cd\u590d\u5f88\u591a\u5f88\u591a\u6b21\u3002\u5c31\u50cf\u4f60\u6709\u4e2a\u5de5\u4f5c\u9700\u8981\u7b97\u51e0\u4ebf\u6b21\u4e00\u767e\u4ee5\u5185\u52a0\u51cf\u4e58\u9664\u4e00\u6837\uff0c\u6700\u597d\u7684\u529e\u6cd5\u5c31\u662f\u96c7\u4e0a\u51e0\u5341\u4e2a\u5c0f\u5b66\u751f\u4e00\u8d77\u7b97\uff0c\u4e00\u4eba\u7b97\u4e00\u90e8\u5206\uff0c\u53cd\u6b63\u8fd9\u4e9b\u8ba1\u7b97\u4e5f\u6ca1\u4ec0\u4e48\u6280\u672f\u542b\u91cf\uff0c\u7eaf\u7cb9\u4f53\u529b\u6d3b\u800c\u5df2\u3002\u800cCPU\u5c31\u50cf\u8001\u6559\u6388\uff0c\u79ef\u5206\u5fae\u5206\u90fd\u4f1a\u7b97\uff0c\u5c31\u662f\u5de5\u8d44\u9ad8\uff0c\u4e00\u4e2a\u8001\u6559\u6388\u8d44\u9876\u4e8c\u5341\u4e2a\u5c0f\u5b66\u751f\uff0c\u4f60\u8981\u662f\u5bcc\u58eb\u5eb7\u4f60\u96c7\u54ea\u4e2a\uff1fGPU\u5c31\u662f\u8fd9\u6837\uff0c\u7528\u5f88\u591a\u7b80\u5355\u7684\u8ba1\u7b97\u5355\u5143\u53bb\u5b8c\u6210\u5927\u91cf\u7684\u8ba1\u7b97\u4efb\u52a1\uff0c\u7eaf\u7cb9\u7684\u4eba\u6d77\u6218\u672f\u3002\u8fd9\u79cd\u7b56\u7565\u57fa\u4e8e\u4e00\u4e2a\u524d\u63d0\uff0c\u5c31\u662f\u5c0f\u5b66\u751fA\u548c\u5c0f\u5b66\u751fB\u7684\u5de5\u4f5c\u6ca1\u6709\u4ec0\u4e48\u4f9d\u8d56\u6027\uff0c\u662f\u4e92\u76f8\u72ec\u7acb\u7684\u3002\u5f88\u591a\u6d89\u53ca\u5230\u5927\u91cf\u8ba1\u7b97\u7684\u95ee\u9898\u57fa\u672c\u90fd\u6709\u8fd9\u79cd\u7279\u6027\uff0c\u6bd4\u5982\u4f60\u8bf4\u7684\u7834\u89e3\u5bc6\u7801\uff0c\u6316\u77ff\u548c\u5f88\u591a\u56fe\u5f62\u5b66\u7684\u8ba1\u7b97\u3002\u8fd9\u4e9b\u8ba1\u7b97\u53ef\u4ee5\u5206\u89e3\u4e3a\u591a\u4e2a\u76f8\u540c\u7684\u7b80\u5355\u5c0f\u4efb\u52a1\uff0c\u6bcf\u4e2a\u4efb\u52a1\u5c31\u53ef\u4ee5\u5206\u7ed9\u4e00\u4e2a\u5c0f\u5b66\u751f\u53bb\u505a\u3002\u4f46\u8fd8\u6709\u4e00\u4e9b\u4efb\u52a1\u6d89\u53ca\u5230\u201c\u6d41\u201d\u7684\u95ee\u9898\u3002\u6bd4\u5982\u4f60\u53bb\u76f8\u4eb2\uff0c\u53cc\u65b9\u770b\u7740\u987a\u773c\u624d\u80fd\u7ee7\u7eed\u53d1\u5c55\u3002\u603b\u4e0d\u80fd\u4f60\u8fd9\u8fb9\u8fd8\u6ca1\u89c1\u9762\u5462\uff0c\u90a3\u8fb9\u627e\u4eba\u628a\u8bc1\u90fd\u7ed9\u9886\u4e86\u3002\u8fd9\u79cd\u6bd4\u8f83\u590d\u6742\u7684\u95ee\u9898\u90fd\u662fCPU\u6765\u505a\u7684\u3002\u3000\u3000\u603b\u800c\u8a00\u4e4b\uff0cCPU\u548cGPU\u56e0\u4e3a\u6700\u521d\u7528\u6765\u5904\u7406\u7684\u4efb\u52a1\u5c31\u4e0d\u540c\uff0c\u6240\u4ee5\u8bbe\u8ba1\u4e0a\u6709\u4e0d\u5c0f\u7684\u533a\u522b\u3002\u800c\u67d0\u4e9b\u4efb\u52a1\u548cGPU\u6700\u521d\u7528\u6765\u89e3\u51b3\u7684\u95ee\u9898\u6bd4\u8f83\u76f8\u4f3c\uff0c\u6240\u4ee5\u7528GPU\u6765\u7b97\u4e86\u3002GPU\u7684\u8fd0\u7b97\u901f\u5ea6\u53d6\u51b3\u4e8e\u96c7\u4e86\u591a\u5c11\u5c0f\u5b66\u751f\uff0cCPU\u7684\u8fd0\u7b97\u901f\u5ea6\u53d6\u51b3\u4e8e\u8bf7\u4e86\u591a\u4e48\u5389\u5bb3\u7684\u6559\u6388\u3002\u6559\u6388\u5904\u7406\u590d\u6742\u4efb\u52a1\u7684\u80fd\u529b\u662f\u78be\u538b\u5c0f\u5b66\u751f\u7684\uff0c\u4f46\u662f\u5bf9\u4e8e\u6ca1\u90a3\u4e48\u590d\u6742\u7684\u4efb\u52a1\uff0c\u8fd8\u662f\u9876\u4e0d\u4f4f\u4eba\u591a\u3002<br \/>\n\u5f53\u7136\u73b0\u5728\u7684GPU\u4e5f\u80fd\u505a\u4e00\u4e9b\u7a0d\u5fae\u590d\u6742\u7684\u5de5\u4f5c\u4e86\uff0c\u76f8\u5f53\u4e8e\u5347\u7ea7\u6210\u521d\u4e2d\u751f\u9ad8\u4e2d\u751f\u7684\u6c34\u5e73\u3002\u4f46\u8fd8\u9700\u8981CPU\u6765\u628a\u6570\u636e\u5582\u5230\u5634\u8fb9\u624d\u80fd\u5f00\u59cb\u5e72\u6d3b\uff0c\u7a76\u7adf\u8fd8\u662f\u9760CPU\u6765\u7ba1\u7684\u3002<br \/>\ncpu\u4e0egpu\u7684\u8bbe\u8ba1\u533a\u522b\uff1a<a href=\"https:\/\/egonlin.com\/?p=7543\">https:\/\/egonlin.com\/?p=7543<\/a><\/p>\n<\/blockquote>\n<p>\u62d3\u5c55\u9605\u8bfb<\/p>\n<blockquote>\n<p>Nvidia\u4e2d\u6587\u540d\u82f1\u4f1f\u8fbe\uff0c1999\u5e74\uff0cNVIDIA\u5b9a\u4e49\u4e86GPU\uff0c\u8fd9\u6781\u5927\u5730\u63a8\u52a8\u4e86PC\u6e38\u620f\u5e02\u573a\u7684\u53d1\u5c55\uff0c\u91cd\u65b0\u5b9a\u4e49\u4e86\u73b0\u4ee3\u8ba1\u7b97\u673a\u56fe\u5f62\u6280\u672f\uff0c\u5e76\u5f7b\u5e95\u6539\u53d8\u4e86\u5e76\u884c\u8ba1\u7b97<\/p>\n<p>NVIDIA Tesla GPU\u7cfb\u5217P4\u3001T4\u3001P40\u4ee5\u53caV100\u662fTesla GPU\u7cfb\u5217\u7684\u660e\u661f\u4ea7\u54c1<\/p>\n<p>\u5f53\u4e0b\u8ba1\u7b97\u884c\u4e1a\u6b63\u5728\u4ece\u53ea\u4f7f\u7528CPU\u7684\u201c\u4e2d\u592e\u5904\u7406\u201d\u5411CPU\u4e0eGPU\u5e76\u7528\u7684\u201c\u534f\u540c\u5904\u7406\u201d\u53d1\u5c55\u3002<\/p>\n<p>CPU\u8d1f\u8d23\u6570\u636e\u7684\u903b\u8f91\u5904\u7406\uff0c\u7136\u540e\u5c06\u5904\u7406\u597d\u7684\u6570\u636e\u4ea4\u7ed9GPU\u8fdb\u884c\u5927\u89c4\u6a21\u7684\u8fd0\u7b97\u3002<\/p>\n<p>\u4e3a\u6b64\uff0cNVIDIA\u2122\uff08\u82f1\u4f1f\u8fbe\u2122\uff09\u53d1\u660e\u4e86CUDA\u8fd9\u4e00\u7f16\u7a0b\u6a21\u578b\uff0c\u5b83\u63d0\u4f9b\u4e86\u53ef\u4ee5\u76f4\u63a5\u8c03\u7528GPU\u786c\u4ef6\u63a5\u53e3\uff0c\u53ef\u7528\u4e8e\u5728\u5e94\u7528\u7a0b\u5e8f\u4e2d\u5145\u5206\u5229\u7528CPU\u548cGPU\u5404\u81ea\u7684\u4f18\u70b9<\/p>\n<\/blockquote>\n<h1>\u4e8c\u3001\u5728\u5bb9\u5668\u4e2d\u4f7f\u7528gpu<\/h1>\n<h1>2.1 nvidia-docker1.0<\/h1>\n<p>NVIDIA\u4e8e2016\u5e74\u5f00\u59cb\u8bbe\u8ba1NVIDIA-Docker\u5df2\u4fbf\u4e8e\u5bb9\u5668\u4f7f\u7528NVIDIA GPUs\u3002<br \/>\n\u7b2c\u4e00\u4ee3nvidia-docker1.0\u5b9e\u73b0\u4e86\u5bf9docker client\u7684\u5c01\u88c5\uff0c\u5e76\u5728\u5bb9\u5668\u542f\u52a8\u65f6\uff0c\u5c06\u5fc5\u8981\u7684GPU device\u548clibraries\u6302\u8f7d\u5230\u5bb9\u5668\u4e2d\u3002\u4f46\u662f\u8fd9\u79cd\u8bbe\u8ba1\u7684\u65b9\u5f0f\u9ad8\u5ea6\u7684\u4e0edocker\u8fd0\u884c\u65f6\u8026\u5408\uff0c\u7f3a\u4e4f\u7075\u6d3b\u6027\u3002\u5b58\u5728\u7684\u7f3a\u9677\u5177\u4f53\u5982\u4e0b:<\/p>\n<ul>\n<li>\u8bbe\u8ba1\u9ad8\u5ea6\u4e0edocker\u8026\u5408\uff0c\u4e0d\u652f\u6301\u5176\u5b83\u7684\u5bb9\u5668\u8fd0\u884c\u65f6\u3002\u5982: LXC, CRI-O\u53ca\u672a\u6765\u53ef\u80fd\u4f1a\u589e\u52a0\u7684\u5bb9\u5668\u8fd0\u884c\u65f6\u3002<\/li>\n<li>\u4e0d\u80fd\u66f4\u597d\u7684\u5229\u7528docker\u751f\u6001\u7684\u5176\u5b83\u5de5\u5177\u3002\u5982: docker compose\u3002<\/li>\n<li>\u4e0d\u80fd\u5c06GPU\u4f5c\u4e3a\u8c03\u5ea6\u7cfb\u7edf\u7684\u4e00\u79cd\u8d44\u6e90\u6765\u8fdb\u884c\u7075\u6d3b\u7684\u8c03\u5ea6\u3002<\/li>\n<li>\u5b8c\u5584\u5bb9\u5668\u8fd0\u884c\u65f6\u5bf9GPU\u7684\u652f\u6301\u3002\u5982: \u81ea\u52a8\u7684\u83b7\u53d6\u7528\u6237\u5c42\u9762\u7684NVIDIA Driver libraries, NVIDIA kernel modules, device ordering\u7b49\u3002<\/li>\n<\/ul>\n<p>\u57fa\u4e8e\u4e0a\u9762\u63cf\u8ff0\u7684\u8fd9\u4e9b\u5f0a\u7aef\uff0cNVIDIA\u5f00\u59cb\u4e86\u5bf9\u4e0b\u4e00\u4ee3\u5bb9\u5668\u8fd0\u884c\u65f6\u7684\u8bbe\u8ba1: nvidia-docker2.0\u3002<\/p>\n<h1>2.2 nvidia-docker2.0<\/h1>\n<p>\u5148\u7b80\u5355\u4ecb\u7ecd\u4e0bnvidia-docker 2.0\u4e0eontainerd\u3001vidia-container-runtime\u3001ibnvidia-container\u4ee5\u53carunc\u4e4b\u95f4\u7684\u5173\u7cfb<br \/>\n\u5b83\u4eec\u4e4b\u95f4\u7684\u5173\u7cfb\u53ef\u4ee5\u901a\u8fc7\u4e0b\u9762\u8fd9\u5f20\u56fe\u5173\u8054\u8d77\u6765:<br \/>\n<div class='fancybox-wrapper lazyload-container-unload' data-fancybox='post-images' href='https:\/\/egonlin.com\/wp-content\/uploads\/2022\/08\/image-1665495885932.png'><img class=\"lazyload lazyload-style-2\" src=\"data:image\/svg+xml;base64,PCEtLUFyZ29uTG9hZGluZy0tPgo8c3ZnIHdpZHRoPSIxIiBoZWlnaHQ9IjEiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyIgc3Ryb2tlPSIjZmZmZmZmMDAiPjxnPjwvZz4KPC9zdmc+\"  data-original=\"https:\/\/egonlin.com\/wp-content\/uploads\/2022\/08\/image-1665495885932.png\" src=\"data:image\/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAANSURBVBhXYzh8+PB\/AAffA0nNPuCLAAAAAElFTkSuQmCC\" alt=\"file\" \/><\/div><\/p>\n<ul>\n<li>1\u3001nvidia-docker 2.0<br \/>\nnvidia-docker2.0 \u662f\u4e00\u4e2a\u7b80\u5355\u7684\u5305\uff0c\u5b83\u4e3b\u8981\u901a\u8fc7\u4fee\u6539docker\u7684\u914d\u7f6e\u6587\u4ef6\/etc\/docker\/daemon.json\u6765\u8ba9docker\u4f7f\u7528NVIDIA Container runtime\u3002<\/li>\n<li>2\u3001nvidia-container-runtime<br \/>\nnvidia-container-runtime \u624d\u662f\u771f\u6b63\u7684\u6838\u5fc3\u90e8\u5206\uff0c\u5b83\u5728\u539f\u6709\u7684docker\u5bb9\u5668\u8fd0\u884c\u65f6runc\u7684\u57fa\u7840\u4e0a\u589e\u52a0\u4e00\u4e2aprestart hook\uff0c\u7528\u4e8e\u8c03\u7528libnvidia-container\u5e93\u3002<\/li>\n<li>3\u3001libnvidia-container<br \/>\nlibnvidia-container \u63d0\u4f9b\u4e00\u4e2a\u5e93\u548c\u4e00\u4e2a\u7b80\u5355\u7684CLI\u5de5\u5177\uff0c\u4f7f\u7528\u8fd9\u4e2a\u5e93\u53ef\u4ee5\u4f7fNVIDIA GPU\u88abLinux\u5bb9\u5668\u4f7f\u7528\u3002<\/li>\n<li>4\u3001Containerd<br \/>\nContainerd\u4e3b\u8981\u8d1f\u8d23\u7684\u5de5\u4f5c\u662f:<\/p>\n<ul>\n<li>\u7ba1\u7406\u5bb9\u5668\u7684\u751f\u547d\u5468\u671f(\u4ece\u5bb9\u5668\u7684\u521b\u5efa\u5230\u9500\u6bc1)<\/li>\n<li>\u62c9\u53d6\/\u63a8\u9001\u5bb9\u5668\u955c\u50cf<\/li>\n<li>\u5b58\u50a8\u7ba1\u7406(\u7ba1\u7406\u955c\u50cf\u53ca\u5bb9\u5668\u6570\u636e\u7684\u5b58\u50a8)<\/li>\n<li>\u8c03\u7528runc \u8fd0\u884c\u5bb9\u5668<\/li>\n<li>\u7ba1\u7406\u5bb9\u5668\u7684\u7f51\u7edc\u63a5\u53e3\u53ca\u7f51\u7edc<br \/>\n<strong>containerd\u63a5\u6536\u5230\u8bf7\u6c42\u4e4b\u540e\uff0c\u505a\u597d\u76f8\u5173\u7684\u51c6\u5907\u5de5\u4f5c\uff0c\u53ef\u4ee5\u9009\u62e9\u81ea\u5df1\u8c03\u7528runc\u4e5f\u53ef\u4ee5\u901a\u8fc7\u521b\u5efacontainerd-shim\u518d\u53bb\u8c03\u7528runc\uff0c\u800crunc\u57fa\u4e8eOCI\u6587\u4ef6\u5bf9\u5bb9\u5668\u8fdb\u884c\u521b\u5efa\u3002<\/strong><\/li>\n<\/ul>\n<\/li>\n<li>5\u3001RunC<br \/>\nRunC \u662f\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u7684\u5de5\u5177\uff0c\u5b83\u662f\u7528\u6765\u8fd0\u884c\u5bb9\u5668\u7684\uff0c\u53ea\u7528\u6765\u505a\u8fd9\u4e00\u4ef6\u4e8b\uff0c\u5e76\u4e14\u8fd9\u4e00\u4ef6\u4e8b\u8981\u505a\u597d\u3002\u6211\u4eec\u53ef\u4ee5\u8ba4\u4e3a\u5b83\u5c31\u662f\u4e2a\u547d\u4ee4\u884c\u5c0f\u5de5\u5177\uff0c\u53ef\u4ee5\u4e0d\u7528\u901a\u8fc7 docker \u5f15\u64ce\uff0c\u76f4\u63a5Runc\u8fd0\u884c\u5bb9\u5668\u3002\u4e8b\u5b9e\u4e0a\uff0crunC \u662f\u6807\u51c6\u5316\u7684\u4ea7\u7269\uff0c\u5b83\u6839\u636e OCI \u6807\u51c6\u6765\u521b\u5efa\u548c\u8fd0\u884c\u5bb9\u5668\u3002\u800c OCI(Open Container Initiative)\u7ec4\u7ec7\uff0c\u65e8\u5728\u56f4\u7ed5\u5bb9\u5668\u683c\u5f0f\u548c\u8fd0\u884c\u65f6\u5236\u5b9a\u4e00\u4e2a\u5f00\u653e\u7684\u5de5\u4e1a\u5316\u6807\u51c6\u3002\u76f4\u63a5\u4f7f\u7528RunC\u7684\u547d\u4ee4\u884c\u5373\u53ef\u4ee5\u5b8c\u6210\u521b\u5efa\u4e00\u4e2a\u5bb9\u5668\uff0c\u5e76\u63d0\u4f9b\u4e86\u7b80\u5355\u7684\u4ea4\u4e92\u80fd\u529b\u3002<\/li>\n<\/ul>\n<p>\u4e0a\u9762\u5df2\u7ecf\u4ecb\u7ecd\u4e2a\u5404\u4e2a\u7ec4\u4ef6\u7684\u4f5c\u7528\u4ee5\u53ca\u5b83\u4eec\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u63a5\u4e0b\u6765\u8be6\u7ec6\u7684\u63cf\u8ff0\u4e0b\u8fd9\u5f20\u56fe:<br \/>\n<div class='fancybox-wrapper lazyload-container-unload' data-fancybox='post-images' href='https:\/\/egonlin.com\/wp-content\/uploads\/2022\/08\/image-1665496293970.png'><img class=\"lazyload lazyload-style-2\" src=\"data:image\/svg+xml;base64,PCEtLUFyZ29uTG9hZGluZy0tPgo8c3ZnIHdpZHRoPSIxIiBoZWlnaHQ9IjEiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyIgc3Ryb2tlPSIjZmZmZmZmMDAiPjxnPjwvZz4KPC9zdmc+\"  data-original=\"https:\/\/egonlin.com\/wp-content\/uploads\/2022\/08\/image-1665496293970.png\" src=\"data:image\/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAANSURBVBhXYzh8+PB\/AAffA0nNPuCLAAAAAElFTkSuQmCC\" alt=\"file\" \/><\/div><\/p>\n<ul>\n<li>\n<p>1\u3001\u6b63\u5e38\u521b\u5efa\u4e00\u4e2a\u5bb9\u5668\u7684\u6d41\u7a0b\u662f\u8fd9\u6837\u7684:<\/p>\n<blockquote>\n<p>docker &#8211;&gt; dockerd &#8211;&gt; containerd&#8211;&gt; containerd-shim &#8211;&gt;runc &#8211;&gt; container-process<\/p>\n<\/blockquote>\n<p>docker\u5ba2\u6237\u7aef\u5c06\u521b\u5efa\u5bb9\u5668\u7684\u8bf7\u6c42\u53d1\u9001\u7ed9dockerd, \u5f53dockerd\u6536\u5230\u8bf7\u6c42\u4efb\u52a1\u4e4b\u540e\u5c06\u8bf7\u6c42\u53d1\u9001\u7ed9containerd, containerd\u7ecf\u8fc7\u67e5\u770b\u6821\u9a8c\u542f\u52a8containerd-shim\u6216\u8005\u81ea\u5df1\u6765\u542f\u52a8\u5bb9\u5668\u8fdb\u7a0b\u3002<br \/>\n\u521b\u5efa\u4e00\u4e2a\u4f7f\u7528GPU\u7684\u5bb9\u5668<\/p>\n<\/li>\n<li>\n<p>2\u3001\u521b\u5efaGPU\u5bb9\u5668\u7684\u6d41\u7a0b\u5982\u4e0b:<\/p>\n<blockquote>\n<p>docker&#8211;&gt; dockerd &#8211;&gt; containerd &#8211;&gt; containerd-shim&#8211;&gt; nvidia-container-runtime &#8211;&gt; nvidia-container-runtime-hook &#8211;&gt; libnvidia-container &#8211;&gt; runc &#8212; &gt; container-process<\/p>\n<\/blockquote>\n<p>\u57fa\u672c\u6d41\u7a0b\u548c\u4e0d\u4f7f\u7528GPU\u7684\u5bb9\u5668\u5dee\u4e0d\u591a\uff0c\u53ea\u662f\u628adocker\u9ed8\u8ba4\u7684\u8fd0\u884c\u65f6\u66ff\u6362\u6210\u4e86NVIDIA\u81ea\u5bb6\u7684nvidia-container-runtime\u3002<br \/>\n\u8fd9\u6837\u5f53nvidia-container-runtime\u521b\u5efa\u5bb9\u5668\u65f6\uff0c\u5148\u6267\u884cnvidia-container-runtime-hook\u8fd9\u4e2ahook\u53bb\u68c0\u67e5\u5bb9\u5668\u662f\u5426\u9700\u8981\u4f7f\u7528GPU(\u901a\u8fc7\u73af\u5883\u53d8NVIDIA_VISIBLE_DEVICES\u6765\u5224\u65ad)\u3002\u5982\u679c\u9700\u8981\u5219\u8c03\u7528libnvidia-container\u6765\u66b4\u9732GPU\u7ed9\u5bb9\u5668\u4f7f\u7528\u3002\u5426\u5219\u8d70\u9ed8\u8ba4\u7684runc\u903b\u8f91\u3002<\/p>\n<\/li>\n<\/ul>\n<p>\u8bf4\u5230\u8fd9\u91ccnvidia-docker2.0\u7684\u5927\u4f53\u673a\u5236\u57fa\u672c\u5c31\u901a\u4e86\u3002\u4f46\u662f\u6d89\u53ca\u5230\u7684nvidia-container-runtime, libnvidia-container, containerd,runc\u8fd9\u4e9b\u9879\u76ee\uff0c \u8fd9\u672c\u7bc7\u6587\u7ae0\u91cc\u9762\u5c31\u4e0d\u4e00\u4e00\u4ecb\u7ecd\u4e86\u3002\u5982\u679c\u611f\u5174\u8da3\u53ef\u4ee5\u81ea\u884c\u53bb\u63a2\u7d22\u5b66\u4e60\u3002\u8fd9\u4e9b\u9879\u76ee\u7684\u5730\u5740\u5728\u6587\u7ae0\u4e2d\u90fd\u5df2\u7ecf\u505a\u4e2a\u76f8\u5173\u7684\u94fe\u63a5\u3002<\/p>\n<p>\u53c2\u8003<br \/>\n<a href=\"https:\/\/developer.nvidia.com\/nvidia-container-runtime\" title=\"NVidia Containter Runtime\">NVidia Containter Runtime<\/a><br \/>\n<a href=\"https:\/\/devblogs.nvidia.com\/gpu-containers-runtime\/\" title=\"NVidia Dev Blogs\">NVidia Dev Blogs<\/a><br \/>\n<a href=\"https:\/\/github.com\/opencontainers\/runtime-spec\/blob\/master\/config.md\" title=\"OpenContainers Runtime Spec Config\">OpenContainers Runtime Spec Config<\/a><br \/>\n<a href=\"https:\/\/github.com\/opencontainers\/runtime-spec\" title=\"OpenContainers Runtime Spec\">OpenContainers Runtime Spec<\/a><br \/>\n<a href=\"https:\/\/github.com\/NVIDIA\/nvidia-container-runtime\" title=\"NVidia Container Runtime\">NVidia Container Runtime<\/a><br \/>\n<a href=\"https:\/\/github.com\/opencontainers\/runc\" title=\"RunC\">RunC<\/a><br \/>\n<a href=\"https:\/\/github.com\/NVIDIA\/libnvidia-container\" title=\"libnvidia container\">libnvidia container<\/a><\/p>\n<h2>2.3 docker19\u4f7f\u7528GPU<\/h2>\n<p>\u968f\u7740docker\u7684\u4e0d\u65ad\u5347\u7ea7\uff0c\u5bf9GPU\u7684\u652f\u6301\u4e5f\u8d8a\u6765\u8d8a\u53cb\u597d\uff0c\u5c24\u5176\u662fdocker19.03\u4e4b\u540e\uff0c\u4e0d\u518d\u9700\u8981\u5b89\u88c5nvidia-docker\u4e86\u3002\u53ea\u5b89\u88c5NVIDIA-CONTAINER-RUNTIME\u5c31\u53ef\u4ee5\u4f7f\u7528\u4e86\uff0c\u5e76\u4e14\u652f\u6301docker-compose\u3002<br \/>\n\u672c\u6587\u8bb0\u5f55\u548c\u68b3\u7406\u4e00\u4e0b\u60f3\u8981\u5728docker\u4e2d\u4f7f\u7528GPU\uff0c\u90fd\u9700\u8981\u505a\u4e9b\u4ec0\u4e48\u3002<\/p>\n<h3>\uff081\uff09\u4e0b\u8f7dGPU\u7684\u9a71\u52a8<\/h3>\n<p>\u5728<a href=\"https:\/\/www.nvidia.com\/Download\/index.aspx\" title=\"NVIDIA\u9a71\u52a8\u7a0b\u5e8f\u9875\u9762\">NVIDIA\u9a71\u52a8\u7a0b\u5e8f\u9875\u9762<\/a>\u4e0b\u8f7d\u5bf9\u5e94\u7684\u9a71\u52a8\u3002<\/p>\n<h3>\uff082\uff09\u5b89\u88c5NVIDIA-CONTAINER-RUNTIME<\/h3>\n<p>\u5728https:\/\/nvidia.github.io\/nvidia-container-runtime\/\u67e5\u770b\u652f\u6301\u7684\u64cd\u4f5c\u7cfb\u7edf\u548c\u7248\u672c\uff0c\u5e76\u6839\u636e\u5bf9\u5e94\u9009\u9879\uff0c\u6dfb\u52a0\u6e90\uff0c\u56e0\u4e3a\u6211\u662fcentos7.6\uff0c\u6240\u4ee5\u6dfb\u52a0\u65b9\u5f0f\u4e3a\uff1a<\/p>\n<pre><code>distribution=$(. \/etc\/os-release;echo $ID$VERSION_ID)\ncurl -s -L https:\/\/nvidia.github.io\/nvidia-container-runtime\/$distribution\/nvidia-container-runtime.repo | \\\nsudo tee \/etc\/yum.repos.d\/nvidia-container-runtime.repo<\/code><\/pre>\n<p>\u5728\u53c2\u8003https:\/\/github.com\/NVIDIA\/nvidia-container-runtime\u540e\uff0c\u5f97\u77e5\u76f4\u63a5\u5b89\u88c5\u5373\u53ef<\/p>\n<pre><code>sudo yum install nvidia-container-runtime<\/code><\/pre>\n<h3>(3) \u76f4\u63a5\u4f7f\u7528<\/h3>\n<p>\u6b64\u65f6\u5c31\u51c6\u5907\u597d\u4e86GPU\u73af\u5883\uff0c\u5728docker19\u4e0b\u5c31\u80fd\u901a\u8fc7&#8211;gpus\u53c2\u6570\u76f4\u63a5\u4f7f\u7528\u4e86\uff0c\u5b89\u88c5docker19\u7565<\/p>\n<p>\u67e5\u770b\u2013gpus \u53c2\u6570\u662f\u5426\u5b89\u88c5\u6210\u529f\uff1a<\/p>\n<pre><code>docker run --help | grep -i gpus\n      --gpus gpu-request               GPU devices to add to the container (&#039;all&#039; to pass all GPUs)<\/code><\/pre>\n<p>\u4eceDocker 19.03\u5f00\u59cb\uff0c\u5b89\u88c5\u597ddocker\u4e4b\u540e\uff0c\u53ea\u9700\u8981\u4f7f\u7528 &#8211;gpus \u5373\u53ef\u6307\u5b9a\u5bb9\u5668\u4f7f\u7528\u663e\u5361\u3002<\/p>\n<pre><code>\n1\u3001# \u5982\u679c\u955c\u50cf\u91cc\u6ca1\u6709cuda\u73af\u5883\uff0c\u90a3\u770b\u4e0d\u5230cuda\u4fe1\u606f\uff0c\u663e\u793a\u7ed3\u679c\u4e3aCUDA Version: N\/A \ndocker run -it --rm --gpus all centos nvidia-smi \n+-----------------------------------------------------------------------------+\n| NVIDIA-SMI 440.64.00       Driver Version: 440.64.00      CUDA Version: N\/A  |\n\n2\u3001 \u5f3a\u8c03\u91c7\u7528\u7684\u955c\u50cf\u91cc\u5fc5\u987b\u5305\u542bcuda\ndocker run -it --rm --gpus all nvidia\/cuda:9.0-base nvidia-smi\n+-----------------------------------------------------------------------------+\n| NVIDIA-SMI 440.64.00       Driver Version: 440.64.00       CUDA Version: 10.2 |<\/code><\/pre>\n<p>\u4ee5\u4e0a\u5c31\u5b8c\u6210\u4e86GPU\u7684\u51c6\u5907\uff0c\u53ef\u4ee5\u4f7f\u7528\u4e86\u3002\uff08\u5982\u679c\u6307\u5b9a\u67d0\u4e00\u5f20\u5361\u53ef\u4ee5\u4f7f\u7528\u9009\u9879\uff1a&#8211;gpus &quot;device=0&quot;\uff09<\/p>\n<p>\u5f3a\u8c03\uff1a\u5bb9\u5668\u5185\u53ef\u4ee5\u4f7f\u7528gpu\u7684\u5fc5\u5907\u6761\u4ef6<br \/>\n1\u3001\u7269\u7406\u673a\u4e3b\u673a\u63d2\u6709gpu\u5361<br \/>\n2\u3001\u7269\u7406\u673a\u64cd\u4f5c\u7cfb\u7edf\u5b89\u88c5\u4e86gpu\u9a71\u52a8\u7a0b\u5e8f<br \/>\n3\u3001\u5b89\u88c5\u4e86docker19.0.3\u7248\u672c<br \/>\n4\u3001\u542f\u52a8\u5bb9\u5668\u65f6\u91c7\u7528\u4e34\u65f6\u53c2\u6570&#8211;gpus\u6307\u5b9a\u542f\u7528gpu\uff0c\u6216\u8005\u4fee\u6539\u914d\u7f6e\u6587\u4ef6\u6c38\u4e45\u4fee\u6539<br \/>\n5\u3001\u5bb9\u5668\u955c\u50cf\u5fc5\u987b\u5305\u542bcuda\u73af\u5883\u624d\u80fd\u4f7f\u7528<br \/>\n\u5f53\u4f60\u53d1\u73b0\u5bb9\u5668\u5185\u90e8\u53d1\u73b0CUDA Version: N\/A\uff0c\u5c31\u662f\u56e0\u4e3a\u5bb9\u5668\u5185\u6ca1\u6709cuda\u7684driver\u63a5\u53e3\uff0c\u9700\u8981\u5728\u955c\u50cf\u91cc\u5b9a\u5236\u597d ,\u5982\u4e0b\u5236\u4f5c\u4e00\u4e2a\u5e26\u6709cuda\u73af\u5883\u7684java\u955c\u50cf\uff08\u6ce8\u610fcuda\u7248\u672c\uff09\u3002<\/p>\n<pre><code>ROM         nvidia\/cuda:10.1-base\nMAINTAINER    scsyn\nCOPY .\/jre1.8.0_271 \/jre\nENV JRE_HOME=\/jre\nENV CLASSPATH=$JRE_HOME\/lib\/rt.jar:$JRE_HOME\/lib\/ext\nENV PATH=$PATH:$JRE_HOME\/bin<\/code><\/pre>\n<p>\u4f7f\u7528docker build -t nvidia-java:1.0.0 .\u6253\u5305\u955c\u50cf\u3002<br \/>\n\u4e4b\u540e\u518d\u4f7f\u7528\u7684\u8bdd\u5728\u6b64\u57fa\u7840\u4e0a\u8fdb\u884c\u5c01\u88c5\u5c31\u53ef\u4ee5\u4e86\uff0c\u6bd4\u5982\uff1a<\/p>\n<pre><code>FROM nvidia-java:1.0.0\nMAINTAINER scsyn\nCOPY .\/en2zh \/pn\nENV LD_LIBRARY_PATH=\/pn\/lib\nWORKDIR &quot;\/pn\/bin&quot;\nENTRYPOINT [&quot;java&quot;,&quot;-jar&quot;,&quot;localdeployment-pn-0.0.1-SNAPSHOT.jar&quot;]<\/code><\/pre>\n<p>\u66f4\u591a\u64cd\u4f5c<\/p>\n<pre><code>\u6240\u6709\u663e\u5361\u90fd\u5bf9\u5bb9\u5668\u53ef\u89c1\uff1a\ndocker run --gpus all --name \u5bb9\u5668\u540d -d -t \u955c\u50cfid\n\n\u53ea\u6709\u663e\u53611\u5bf9\u5bb9\u5668\u53ef\u89c1\uff1a\ndocker run --gpus=&quot;1&quot; --name \u5bb9\u5668\u540d -d -t \u955c\u50cfid\n\n\u5982\u679c\u4e0d\u6307\u5b9a --gpus \uff0c\u8fd0\u884cnvidia-smi \u4f1a\u63d0\u793aCommand not found\n\n\u6ce8\u610f\uff1a\n1. \u663e\u5361\u9a71\u52a8\u5728\u6240\u6709\u65b9\u5f0f\u4e2d\uff0c\u90fd\u8981\u5148\u5b89\u88c5\u597d\uff0c\u5bb9\u5668\u662f\u4e0d\u4f1a\u6709\u663e\u5361\u9a71\u52a8\u7684\uff0c\u4e00\u53f0\u7269\u7406\u673a\u7684\u663e\u5361\u53ea\u5bf9\u5e94\u4e00\u4e2a\u663e\u5361\u9a71\u52a8\uff0c\u5f53\u663e\u5361\u9a71\u52a8\u5b89\u88c5\u597d\u540e\uff08\u5373\u4f7f\u672a\u5b89\u88c5cuda\uff09\uff0c\u4e5f\u53ef\u4ee5\u4f7f\u7528\u547d\u4ee4nvidia-smi\n2. nvidia-smi\u663e\u793a\u7684\u662f\u663e\u5361\u9a71\u52a8\u5bf9\u5e94\u7684cuda\u7248\u672c\uff0cnvcc -V \u663e\u793a\u7684\u8fd0\u884c\u662fcuda\u7684\u7248\u672c \n\u542f\u52a8\u5bb9\u5668\u65f6\uff0c\u5bb9\u5668\u5982\u679c\u60f3\u4f7f\u7528gpu\uff0c\u955c\u50cf\u91cc\u5fc5\u987b\u6709cuda\u73af\u5883\uff0c\u5c31\u662f\u8bf4\uff0c\u9488\u5bf9\u60f3\u4f7f\u7528gpu\u7684\u5bb9\u5668\uff0c\u955c\u50cf\u5728\u5236\u4f5c\u65f6\u5fc5\u987b\u5427cuda\u73af\u5883\u6253\u8fdb\u53bb\n\n\u4e0b\u9762\u4e09\u4e2a\u53c2\u6570\u4ee3\u8868\u7684\u90fd\u662f\u662f\u5bb9\u5668\u5185\u53ef\u4ee5\u4f7f\u7528\u7269\u7406\u673a\u7684\u6240\u6709gpu\u5361\n --gpus all\n NVIDIA_VISIBLE_DEVICES=all\n --runtime=nvida\n\n  NVIDIA_VISIBLE_DEVICES=2 \u53ea\u516c\u5f00\u4e24\u4e2agpu\uff0c\u5bb9\u5668\u5185\u53ea\u80fd\u7528\u4e24\u4e2agpu\n\n  \u4e3e\u4f8b\u5982\u4e0b\uff1a\n# \u4f7f\u7528\u6240\u6709GPU\n$ docker run --gpus all nvidia\/cuda:9.0-base nvidia-smi\n\n# \u4f7f\u7528\u4e24\u4e2aGPU\n$ docker run --gpus 2 nvidia\/cuda:9.0-base nvidia-smi\n\n# \u6307\u5b9aGPU\u8fd0\u884c\n$ docker run --gpus &#039;&quot;device=1,2&quot;&#039; nvidia\/cuda:9.0-base nvidia-smi\n$ docker run --gpus &#039;&quot;device=UUID-ABCDEF,1&quot;&#039; nvidia\/cuda:9.0-base nvidia-smi<\/code><\/pre>\n<h2>2.4 \u4fee\u6539\u5bb9\u5668\u7684runtime\u4e3anvdia-runtime<\/h2>\n<p>\u5982\u679c\u6211\u4eec\u5acc\u5f03\u6bcf\u6b21\u542f\u52a8\u5bb9\u5668\u662f\u90fd\u6307\u5b9a&#8211;gpus\u53c2\u6570\u5f88\u9ebb\u70e6\uff0c\u90a3\u4e48\u6211\u4eec\u53ef\u4ee5\u76f4\u63a5\u628a\u9ed8\u8ba4\u7684Runc\u66ff\u6362\u4e3anvidia-runtime\uff0c\u8fd9\u6837\u6bcf\u6b21\u4f60\u542f\u52a8\u5bb9\u5668\u662f\uff0c\u5c31\u4e0d\u7528\u52a0&#8211;gpus\u53c2\u6570\u4e86\uff0c\u9ed8\u8ba4\u5bb9\u5668\u5185\u5c31\u53ef\u4ee5\u7528gpu\uff0c\u5f53\u7136\u5bb9\u5668\u955c\u50cf\u91cc\u6709cuda\u73af\u5883<\/p>\n<p>\u4e3adocker\u73af\u5883\u5b89\u88c5Nvidia-container-runtime<br \/>\n1\u3001\u5bf9\u4e8e\u5df2\u7ecf\u5b89\u88c5\u597ddocker\u7684CentOS\u7cfb\u7edf<\/p>\n<pre><code class=\"language-bash\">distribution=$(. \/etc\/os-release;echo $ID$VERSION_ID)\ncurl -s -L https:\/\/nvidia.github.io\/nvidia-container-runtime\/$distribution\/nvidia-container-runtime.repo | sudo tee \/etc\/yum.repos.d\/nvidia-container-runtime.repo\nyum install nvidia-container-runtime -y\n\n# \u79bb\u7ebf\u73b0\u5728\uff0c\u53bb\u672c\u8282\u7684\u8f6f\u4ef6\u5305\u76ee\u5f55\u83b7\u53d6nvida-runtime.tar.gz\n\u89e3\u538b\u540e\uff0c\u6267\u884cyum localinstall\u5373\u53ef<\/code><\/pre>\n<p>2\u3001\u5bf9\u4e8e\u5df2\u7ecf\u5b89\u88c5\u597ddocker\u7684Ubuntu\u7cfb\u7edf<\/p>\n<p>(1). \u9996\u5148\u914d\u7f6envidia\u6e90<\/p>\n<pre><code class=\"language-bash\">curl -s -L https:\/\/nvidia.github.io\/nvidia-container-runtime\/gpgkey | \\\n  sudo apt-key add -\n\ndistribution=$(. \/etc\/os-release;echo $ID$VERSION_ID)\n\ncurl -s -L https:\/\/nvidia.github.io\/nvidia-container-runtime\/$distribution\/nvidia-container-runtime.list | \\\n  sudo tee \/etc\/apt\/sources.list.d\/nvidia-container-runtime.list\n\nsudo apt-get update<\/code><\/pre>\n<p>(2)\u3001\u53c2\u8003https:\/\/gitee.com\/wuxler\/nvidia-container-runtime?_from=gitee_search \u5b89\u88c5nvidia-container-runtime<\/p>\n<pre><code class=\"language-bash\">sudo apt-get install nvidia-container-runtime\nsystemctl stop docker\n\n\u628a\u8fd0\u884c\u65f6\u6dfb\u52a0\u5230docker\u4e2d\uff0c\u8fd9\u4e2a\u53ea\u662f\u4e34\u65f6\u6dfb\u52a0\ndockerd --add-runtime=nvidia=\/usr\/bin\/nvidia-container-runtime\n\n\u628a\u8fd0\u884c\u65f6\u6dfb\u52a0\u5230docker\u4e2d\uff0c\u6c38\u4e45\u6dfb\u52a0\n[root@yq01-aip-aikefu19 ~]# systemctl stop docker\n\n[root@yq01-aip-aikefu19 ~]# cat \/etc\/docker\/daemon.json \n{\n  &quot;insecure-registries&quot;:[&quot;xxx-registry:5000&quot;, &quot;xxx.xxx-int.com&quot;],\n    &quot;runtimes&quot;: {\n        &quot;nvidia&quot;: {\n            &quot;path&quot;: &quot;\/usr\/bin\/nvidia-container-runtime&quot;,  # \u6307\u5b9a\u8def\u5f84\uff0c\u8fd8\u6709id\u4e3anvida\n            &quot;runtimeArgs&quot;: []\n        }\n    },\n    &quot;default-runtime&quot;: &quot;nvidia&quot;,  # \u7136\u540e\u8bbe\u5b9a\u9ed8\u8ba4\u7684runtime\n    &quot;data-root&quot;: &quot;\/data\/lib\/docker&quot;\n}\n\n\u751f\u6548\u524d\u67e5\u770b\u9ed8\u8ba4\u7684Runc\n[root@yq01-aip-aikefu19 ~]# docker info |grep -iw runtime:\n Default Runtime: nvidia\n\n\u6b64\u65f6\uff0c\u542f\u52a8\u5bb9\u5668\u5982\u679c\u4e0d\u6307\u5b9a--gpus\u53c2\u6570\uff0c\u90a3\u6839\u672c\u65e0\u6cd5\u4f7f\u7528nvida-smi\u547d\u4ee4\uff0c\u4f1a\u62a5exec format error\u6267\u884c\u683c\u5f0f\u9519\u8bef\n[root@yq01-aip-aikefu19 ~]# docker run --rm --name test nvidia\/cuda:9.0-base nvidia-smi\n\n\u91cd\u542f\u8ba9\u4fee\u6539\u751f\u6548\n[root@yq01-aip-aikefu19 ~]# systemctl start docker\n\n\u91cd\u65b0\u67e5\u770b\uff0c\u53d1\u73b0\u9ed8\u8ba4\u7684runtime\u5df2\u7ecf\u88ab\u66ff\u6362\u4e3a\u4e86nvidia-runtime\n[root@yq01-aip-aikefu19 ~]# docker info |grep -iw runtime:\n Default Runtime: runc<\/code><\/pre>\n<p>(3)\u3001\u9a8c\u8bc1<\/p>\n<pre><code>\u65e0\u9700\u52a0--gpus\u53c2\u6570\uff0c\u5728\u5bb9\u5668\u5185\u4e5f\u80fd\u4f7f\u7528gpu\n[root@yq01-aip-aikefu19 ~]# docker run --rm --name test nvidia\/cuda:9.0-base nvidia-smi\n+-----------------------------------------------------------------------------+\n| NVIDIA-SMI 440.64.00    Driver Version: 440.64.00    CUDA Version: 10.2     |\n|-------------------------------+----------------------+----------------------+<\/code><\/pre>\n<h2>2.5 \u5173\u4e8egpu\u4fe1\u606f\u7684\u8bf4\u660e<\/h2>\n<p>\u663e\u793a\u6240\u6709GPU\u7684\u5f53\u524d\u4fe1\u606f\u72b6\u6001\uff1a<\/p>\n<p>nvidia-smi<\/p>\n<p>\u67e5\u8be2\u6240\u6709GPU\u7684\u5f53\u524d\u8be6\u7ec6\u4fe1\u606f\uff1a<\/p>\n<p>nvidia-smi -q<\/p>\n<p>\u8bbe\u5907\u76d1\u63a7\u547d\u4ee4\uff0c\u4ee5\u6eda\u52a8\u6761\u5f62\u5f0f\u663e\u793aGPU\u8bbe\u5907\u7edf\u8ba1\u4fe1\u606f\uff1a<\/p>\n<p>nvidia-smi dmon<\/p>\n<p>\u8fdb\u7a0b\u76d1\u63a7\u547d\u4ee4\uff0c\u4ee5\u6eda\u52a8\u6761\u5f62\u5f0f\u663e\u793aGPU\u8fdb\u7a0b\u72b6\u6001\u4fe1\u606f\uff1a<\/p>\n<p>nvidia-smi pmon<\/p>\n<p>\u5b9e\u65f6\u76d1\u6d4b\u5e76\u9ad8\u4eae\u663e\u793a\u72b6\u6001\uff1a<\/p>\n<p>watch -n 1 -d nvidia-smi\uff0c1\u4ee3\u8868\u95f4\u96941s\u5237\u65b0\u3002<\/p>\n<p><div class='fancybox-wrapper lazyload-container-unload' data-fancybox='post-images' href='https:\/\/egonlin.com\/wp-content\/uploads\/2022\/08\/222.png'><img class=\"lazyload lazyload-style-2\" src=\"data:image\/svg+xml;base64,PCEtLUFyZ29uTG9hZGluZy0tPgo8c3ZnIHdpZHRoPSIxIiBoZWlnaHQ9IjEiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyIgc3Ryb2tlPSIjZmZmZmZmMDAiPjxnPjwvZz4KPC9zdmc+\"  data-original=\"https:\/\/egonlin.com\/wp-content\/uploads\/2022\/08\/222.png\" src=\"data:image\/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAANSURBVBhXYzh8+PB\/AAffA0nNPuCLAAAAAElFTkSuQmCC\" alt=\"\" \/><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4e00\u3001cpu\u4e0egpu\u7684\u533a\u522b cpu\uff1a\u64c5\u957f\u903b\u8f91\u63a7\u5236\uff0c\u4e32\u884c\u7684\u8fd0\u7b97\uff0ccpu\u5c31\u597d\u50cf\u662f\u4e00\u4e2a\u5389\u5bb3\u7684\u8001\u535a\u58eb\uff0c\u4efb\u4f55\u590d\u6742\u7684\u6570\u5b66\u9898\u90fd [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[423,422],"tags":[],"_links":{"self":[{"href":"https:\/\/egonlin.com\/index.php?rest_route=\/wp\/v2\/posts\/7366"}],"collection":[{"href":"https:\/\/egonlin.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/egonlin.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/egonlin.com\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/egonlin.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=7366"}],"version-history":[{"count":0,"href":"https:\/\/egonlin.com\/index.php?rest_route=\/wp\/v2\/posts\/7366\/revisions"}],"wp:attachment":[{"href":"https:\/\/egonlin.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7366"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/egonlin.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7366"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/egonlin.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7366"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}