{"id":9169,"date":"2024-02-29T15:09:38","date_gmt":"2024-02-29T07:09:38","guid":{"rendered":"\/?p=9169"},"modified":"2024-02-29T15:10:25","modified_gmt":"2024-02-29T07:10:25","slug":"%e5%9c%a8-windows-%e4%b8%8b%e5%88%a9%e7%94%a8-wsl2-%e5%92%8c-ubuntu-%e9%85%8d%e7%bd%ae-gpu-%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%e7%8e%af%e5%a2%83","status":"publish","type":"post","link":"\/?p=9169","title":{"rendered":"\u5728 Windows \u4e0b\u5229\u7528 WSL2 \u548c Ubuntu \u914d\u7f6e GPU \u673a\u5668\u5b66\u4e60\u73af\u5883"},"content":{"rendered":"<h1>\u7ec8\u7aef<\/h1>\n<p>\u5de5\u6b32\u5584\u5176\u4e8b\u5fc5\u5148\u5229\u5176\u5668\uff0c\u5f00\u53d1\u79bb\u4e0d\u5f00\u90a3\u4e2a\u9ed1\u6846\u6846\uff0c\u6240\u4ee5\u6211\u4eec\u9700\u8981\u628a\u8fd9\u4e2a\u9ed1\u6846\u6846\u53d8\u5f97\u66f4\u597d\u770b\u66f4\u597d\u7528\u4e9b\u3002Windows \u7ec8\u7aef\u662f\u4e00\u4e2a\u65b0\u7684\u652f\u6301 PowerShell \u548c WSL bash \u7684\u5e94\u7528\uff0c\u901a\u8fc7<a href=\"https:\/\/aka.ms\/terminal\">\u5e94\u7528\u5546\u5e97<\/a> \u76f4\u63a5\u8fdb\u884c\u5b89\u88c5\u3002<\/p>\n<p>\u5efa\u8bae\u5b89\u88c5\u6700\u65b0\u7248\u7684 PowerShell \u4f5c\u4e3a\u547d\u4ee4\u884c\u73af\u5883\uff0c\u76f8\u5173\u4e0b\u8f7d\u548c\u914d\u7f6e\u8be6\u89c1<a href=\"https:\/\/learn.microsoft.com\/zh-cn\/powershell\/\">\u5b98\u7f51<\/a>\u3002<\/p>\n<p>\u4e3a\u4e86\u66f4\u597d\u7684\u5728\u7ec8\u7aef\u4e2d\u663e\u793a\u4e2d\u82f1\u6587\u548c\u56fe\u6807\uff0c\u63a8\u8350\u4f7f\u7528 <a href=\"https:\/\/github.com\/laishulu\/Sarasa-Term-SC-Nerd\">Sarasa Term SC Nerd<\/a> \u4f5c\u4e3a\u7ec8\u7aef\u663e\u793a\u5b57\u4f53\u3002<\/p>\n<h1>WSL<\/h1>\n<p>\u4ee5\u7ba1\u7406\u5458\u6a21\u5f0f\u6253\u5f00 PowerShell \u6216 Windows \u547d\u4ee4\u63d0\u793a\u7b26\uff0c\u8f93\u5165\u5982\u4e0b\u547d\u4ee4\uff0c\u5e76\u91cd\u542f\u8ba1\u7b97\u673a\uff1a<\/p>\n<pre><code class=\"language-powershell\">wsl --install<\/code><\/pre>\n<p>\u6b64\u547d\u4ee4\u4f1a\u542f\u7528 WSL \u5e76\u5b89\u88c5 Ubuntu \u53d1\u884c\u7248 Linux\u3002\u901a\u8fc7 <code>wsl -l -o<\/code> \u53ef\u4ee5\u67e5\u770b\u6240\u6709 Linux \u7684\u53d1\u884c\u7248\uff1a<\/p>\n<p><a href=\"https:\/\/leovan.me\/images\/cn\/2023-03-19-gpu-machine-learning-environment-configuration-under-windows-with-wsl2-and-ubuntu\/wsl-linux-distributions.png\"><img src=\"https:\/\/lemon-guess.oss-cn-hangzhou.aliyuncs.com\/img\/wsl-linux-distributions.png\" alt=\"img\" \/><\/a><\/p>\n<p>\u901a\u8fc7 <code>wsl --install &lt;\u53d1\u884c\u7248\u540d\u79f0&gt;<\/code> \u53ef\u4ee5\u5b89\u88c5\u5176\u4ed6\u53d1\u884c\u7248 Linux\u3002\u901a\u8fc7 <code>wsl -l -v<\/code> \u53ef\u4ee5\u67e5\u770b\u5f53\u524d\u8fd0\u884c\u7684 WSL \u7248\u672c\uff1a<\/p>\n<p><a href=\"https:\/\/leovan.me\/images\/cn\/2023-03-19-gpu-machine-learning-environment-configuration-under-windows-with-wsl2-and-ubuntu\/wsl-running.png\"><img src=\"https:\/\/lemon-guess.oss-cn-hangzhou.aliyuncs.com\/img\/wsl-running.png\" alt=\"img\" \/><\/a><\/p>\n<p>\u901a\u8fc7 <code>wsl<\/code> \u65b0\u5b89\u88c5\u7684 Linux \u9ed8\u8ba4\u5df2\u7ecf\u8bbe\u7f6e\u4e3a WSL 2\u3002<\/p>\n<p>\u8fdb\u5165 Ubuntu \u547d\u4ee4\u884c\uff0c\u8f93\u5165\u5982\u4e0b\u547d\u4ee4\u5b89\u88c5\u5fc5\u8981\u7684\u7cfb\u7edf\u4f9d\u8d56\uff1a<\/p>\n<pre><code class=\"language-shell\">sudo apt install gcc<\/code><\/pre>\n<p>\u5b89\u88c5 zsh \u4f5c\u4e3a Ubuntu \u9ed8\u8ba4\u7684 Shell\uff1a<\/p>\n<pre><code class=\"language-shell\">sudo apt install zsh<\/code><\/pre>\n<p>\u5b89\u88c5 <a href=\"https:\/\/ohmyz.sh\/\">Oh My Zsh<\/a> \u6765\u63d0\u5347 zsh \u7684\u6613\u7528\u6027\u3002<\/p>\n<h1>\u663e\u5361<\/h1>\n<h2>\u9a71\u52a8<\/h2>\n<p>\u4ece Nvidia \u5b98\u7f51\uff08<a href=\"https:\/\/www.nvidia.cn\/geforce\/drivers\uff09\u4e0b\u8f7d\u9002\u7528\u4e8e\">https:\/\/www.nvidia.cn\/geforce\/drivers\uff09\u4e0b\u8f7d\u9002\u7528\u4e8e<\/a> Windows \u7684\u6700\u65b0\u9a71\u52a8\u5e76\u5b89\u88c5\u3002\u8fdb\u5165 Windows \u547d\u4ee4\u884c\uff0c\u8f93\u5165 <code>nvidia-smi<\/code> \u547d\u4ee4\u67e5\u770b\u663e\u5361\u72b6\u6001\uff1a<\/p>\n<p><a href=\"https:\/\/leovan.me\/images\/cn\/2023-03-19-gpu-machine-learning-environment-configuration-under-windows-with-wsl2-and-ubuntu\/nvidia-smi-windows.png\"><img src=\"https:\/\/lemon-guess.oss-cn-hangzhou.aliyuncs.com\/img\/nvidia-smi-windows.png\" alt=\"img\" \/><\/a><\/p>\n<p>Ubuntu \u4e2d\u4e0d\u518d\u9700\u8981\u989d\u5916\u5b89\u88c5\u663e\u5361\u9a71\u52a8\uff0c\u8fdb\u5165 Ubuntu \u547d\u4ee4\u884c\uff0c\u8f93\u5165 <code>nvidia-smi<\/code> \u547d\u4ee4\u67e5\u770b\u663e\u5361\u72b6\u6001\uff1a<\/p>\n<p><a href=\"https:\/\/leovan.me\/images\/cn\/2023-03-19-gpu-machine-learning-environment-configuration-under-windows-with-wsl2-and-ubuntu\/nvidia-smi-ubuntu.png\"><img src=\"https:\/\/lemon-guess.oss-cn-hangzhou.aliyuncs.com\/img\/nvidia-smi-ubuntu.png\" alt=\"img\" \/><\/a><\/p>\n<p>\u4e0d\u96be\u770b\u51fa\uff0c\u51fa\u4e86 <code>nvidia-smi<\/code> \u5de5\u5177\u7248\u672c\u4e0d\u540c\u5916\uff0c\u663e\u5361\u9a71\u52a8\u548c CUDA \u7248\u672c\u5747\u662f\u76f8\u540c\u7684\u3002<\/p>\n<h2>CUDA<\/h2>\n<p>\u4ece Nvidia \u5b98\u7f51\uff08<a href=\"https:\/\/developer.nvidia.com\/cuda-toolkit-archive\uff09\u4e0b\u8f7d\u9002\u7528\u4e8e\">https:\/\/developer.nvidia.com\/cuda-toolkit-archive\uff09\u4e0b\u8f7d\u9002\u7528\u4e8e<\/a> WSL Ubuntu \u7684 CUDA\uff0c\u5728\u6b64\u9009\u62e9\u7684\u7248\u672c\u4e3a <code>11.8.0<\/code>\uff08\u5177\u4f53\u8bf7\u53c2\u8003\u4f8b\u5982 Tensorflow \u7b49\u6240\u9700\u5de5\u5177\u7684\u4f9d\u8d56\u7248\u672c\uff09\uff0c\u76f8\u5173\u5e73\u53f0\u9009\u9879\u5982\u4e0b\uff1a<\/p>\n<ul>\n<li>Operating System\uff1aLinux<\/li>\n<li>Architecture\uff1ax86_64<\/li>\n<li>Distribution\uff1aWSL-Ubuntu<\/li>\n<li>Version\uff1a2.0<\/li>\n<li>Installer Type\uff1arunfile (local)<\/li>\n<\/ul>\n<p>\u4e0b\u8f7d\u5b8c\u6bd5\u540e\u8fd0\u884c\u5982\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<pre><code class=\"language-shell\">sudo sh cuda_11.8.0_520.61.05_linux.run --toolkit<\/code><\/pre>\n<p>\u5176\u4e2d <code>--toolkit<\/code> \u8868\u793a\u4ec5\u5b89\u88c5 CUDA \u5de5\u5177\u7bb1\u3002<\/p>\n<p><a href=\"https:\/\/leovan.me\/images\/cn\/2023-03-19-gpu-machine-learning-environment-configuration-under-windows-with-wsl2-and-ubuntu\/cuda-installation-eula.png\"><img src=\"https:\/\/lemon-guess.oss-cn-hangzhou.aliyuncs.com\/img\/cuda-installation-eula.png\" alt=\"img\" \/><\/a><\/p>\n<p>\u5728\u5f39\u51fa\u7684 EULA \u754c\u9762\u8f93\u5165 <code>accept<\/code> \u8fdb\u5165\u5b89\u88c5\u9009\u9879\u754c\u9762\uff1a<\/p>\n<p><a href=\"https:\/\/leovan.me\/images\/cn\/2023-03-19-gpu-machine-learning-environment-configuration-under-windows-with-wsl2-and-ubuntu\/cuda-installation-options.png\"><img src=\"https:\/\/lemon-guess.oss-cn-hangzhou.aliyuncs.com\/img\/cuda-installation-options.png\" alt=\"img\" \/><\/a><\/p>\n<p>\u4ec5\u4fdd\u7559 <code>CUDA Toolkit 11.8<\/code> \u5373\u53ef\uff0c\u5207\u6362\u5230 <code>Install<\/code> \u5e76\u6309\u56de\u8f66\u952e\u8fdb\u884c\u5b89\u88c5\u3002<\/p>\n<p>\u5c06\u5982\u4e0b\u5185\u5bb9\u6dfb\u52a0\u5230 <code>~\/.bashrc<\/code> \u6587\u4ef6\u5c3e\u90e8\uff1a<\/p>\n<pre><code class=\"language-shell\">export PATH=\/usr\/local\/cuda\/bin:$PATH\nexport LD_LIBRARY_PATH=\/usr\/local\/cuda\/lib64:$LD_LIBRARY_PATH<\/code><\/pre>\n<p>\u901a\u8fc7 <code>source ~\/.bashrc<\/code> \u6216 <code>source ~\/.zshrc<\/code> \u4f7f\u8def\u5f84\u7acb\u5373\u751f\u6548\u3002\u8f93\u5165 <code>nvcc -V<\/code> \u67e5\u770b CUDA \u7f16\u8bd1\u5668\u9a71\u52a8\u7248\u672c\uff1a<\/p>\n<p><a href=\"https:\/\/leovan.me\/images\/cn\/2023-03-19-gpu-machine-learning-environment-configuration-under-windows-with-wsl2-and-ubuntu\/nvcc-version.png\"><img src=\"https:\/\/lemon-guess.oss-cn-hangzhou.aliyuncs.com\/img\/nvcc-version.png\" alt=\"img\" \/><\/a><\/p>\n<h2>cuDNN<\/h2>\n<p>\u4ece Nvidia \u5b98\u7f51\uff08<a href=\"https:\/\/developer.nvidia.com\/rdp\/cudnn-archive\uff09\u4e0b\u8f7d\u9002\u7528\u4e8e\">https:\/\/developer.nvidia.com\/rdp\/cudnn-archive\uff09\u4e0b\u8f7d\u9002\u7528\u4e8e<\/a> Linux \u548c\u4e0a\u8ff0\u5b89\u88c5 CUDA \u7248\u672c\u7684 cuDNN\uff0c\u5728\u6b64\u9009\u62e9\u7684\u7248\u672c\u4e3a <code>v8.8.0 for CUDA 11.x<\/code>\uff0c\u5b89\u88c5\u5305\u683c\u5f0f\u4e3a <code>Local Installer for Linux x86_64 (Tar)<\/code>\u3002<\/p>\n<blockquote>\n<p>\u6ce8\u610f\uff1acuDNN \u9700\u8981\u6ce8\u518c\u8d26\u6237\u540e\u65b9\u53ef\u8fdb\u884c\u4e0b\u8f7d\u3002<\/p>\n<\/blockquote>\n<p>\u4e0b\u8f7d\u5b8c\u6bd5\u540e\u8fd0\u884c\u5982\u4e0b\u547d\u4ee4\u8fdb\u884c\u89e3\u538b\uff1a<\/p>\n<pre><code class=\"language-shell\">tar -xvf cudnn-linux-x86_64-8.8.0.121_cuda11-archive.tar.xz<\/code><\/pre>\n<p>\u8fd0\u884c\u5982\u4e0b\u547d\u4ee4\u5c06\u5176\u79fb\u52a8\u5230 CUDA \u76ee\u5f55\uff1a<\/p>\n<pre><code class=\"language-plain\">sudo mv cudnn-*-archive\/include\/cudnn*.h \/usr\/local\/cuda\/include\nsudo mv -P cudnn-*-archive\/lib\/libcudnn* \/usr\/local\/cuda\/lib64 \nsudo chmod a+r \/usr\/local\/cuda\/include\/cudnn*.h \/usr\/local\/cuda\/lib64\/libcudnn*<\/code><\/pre>\n<h1>\u673a\u5668\u5b66\u4e60\u73af\u5883<\/h1>\n<h2>Python<\/h2>\n<p>Ubuntu 22.04 \u7cfb\u7edf\u5df2\u7ecf\u5b89\u88c5\u4e86 Python 3.10 \u7248\u672c\uff0cPython 3.10 \u5728\u5e38\u7528\u673a\u5668\u5b66\u4e60\u5e93\u4e0a\u5177\u6709\u8f83\u597d\u7684\u517c\u5bb9\u6027\u3002\u56e0\u6b64\uff0c\u4ee5 Python 3.10 \u7248\u672c\u4e3a\u4f8b\uff0c\u4f7f\u7528 <code>venv<\/code> \u521b\u5efa\u673a\u5668\u5b66\u4e60\u865a\u62df\u73af\u5883\u3002\u5728\u7cfb\u7edf\u5c42\u9762\u5b89\u88c5 <code>venv<\/code> \u5e76\u521b\u5efa\u865a\u62df\u73af\u5883\uff1a<\/p>\n<pre><code class=\"language-shell\">\u89e3\u91casudo apt install python3.10-venv\nmkdir ~\/sdk\npython3.10 -m venv ~\/sdk\/python310\nsource ~\/sdk\/python310\/bin\/activate<\/code><\/pre>\n<h2>PyTorch<\/h2>\n<p>PyTorch \u7684 2.0 \u7248\u672c\u652f\u6301\u7684\u6700\u9ad8 CUDA \u5373\u4e3a 11.8\uff0c\u8f93\u5165\u5982\u4e0b\u547d\u4ee4\u5b89\u88c5 PyTorch\uff1a<\/p>\n<pre><code class=\"language-shell\">pip install torch torchvision torchaudio --index-url https:\/\/download.pytorch.org\/whl\/cu118<\/code><\/pre>\n<p>\u60ca\u5947\u7684\u53d1\u73b0 PyTorch \u7684\u5b89\u88c5\u5305 <code>torch-2.0.0+cu118-cp310-cp310-linux_x86_64.whl<\/code> \u7adf\u7136\u8d85\u8fc7 2GB\u3002\u5b89\u88c5\u5b8c\u6bd5\u540e\u53d1\u73b0 PyTorch \u5185\u5d4c\u4e86 CUDA \u548c cuDNN\u3002\u5185\u5d4c\u7684\u597d\u5904\u662f\u53ef\u4ee5\u505a\u5230\u5b89\u88c5\u5373\u7528\uff0c\u4f46\u5982\u679c\u548c\u5176\u4ed6\u5305\u4f9d\u8d56\u7684\u7cfb\u7edf CUDA \u548c cuDNN \u7248\u672c\u4e0d\u4e00\u81f4\uff0c\u5bb9\u6613\u51fa\u73b0\u5404\u79cd\u610f\u60f3\u4e0d\u5230\u7684\u95ee\u9898\u3002\u5728 Python \u4e2d\u8fd0\u884c\u5982\u4e0b\u547d\u4ee4\u9a8c\u8bc1 PyTorch \u662f\u5426\u53ef\u4ee5\u6b63\u5e38\u8c03\u7528\u663e\u5361\uff1a<\/p>\n<pre><code class=\"language-python\">\u89e3\u91caimport torch\n\n# PyTorch \u7248\u672c\ntorch.__version__\n# 2.0.0+cu118\n\n# CUDA \u662f\u5426\u53ef\u7528\ntorch.cuda.is_available()\n# True\n\n# GPU \u6570\u91cf\ntorch.cuda.device_count()\n# 1\n\n# GPU \u540d\u79f0\ntorch.cuda.get_device_name(0)\n# NVIDIA GeForce RTX 3070 Ti<\/code><\/pre>\n<h2>Tensorflow<\/h2>\n<p>\u8f93\u5165\u5982\u4e0b\u547d\u4ee4\u5b89\u88c5 Tensorflow\uff1a<\/p>\n<pre><code class=\"language-shell\">pip install tensorflow<\/code><\/pre>\n<p>\u5728 Python \u4e2d\u8fd0\u884c\u5982\u4e0b\u547d\u4ee4\u9a8c\u8bc1 Tensorflow \u662f\u5426\u53ef\u4ee5\u6b63\u5e38\u8c03\u7528\u663e\u5361\uff1a<\/p>\n<pre><code class=\"language-python\">\u89e3\u91caimport tensorflow as tf\n\n# Tensorflow \u7248\u672c\ntf.__version__\n# 2.11.0\n\n# CUDA \u662f\u5426\u53ef\u7528\ntf.test.is_gpu_available()\n# True\n\n# GPU \u6570\u91cf\nlen(tf.config.experimental.list_physical_devices(&#039;GPU&#039;))\n# 1\n\n# GPU \u540d\u79f0\ntf.test.gpu_device_name()\n# \/device:GPU:0<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"<p>\u7ec8\u7aef \u5de5\u6b32\u5584\u5176\u4e8b\u5fc5\u5148\u5229\u5176\u5668\uff0c\u5f00\u53d1\u79bb\u4e0d\u5f00\u90a3\u4e2a\u9ed1\u6846\u6846\uff0c\u6240\u4ee5\u6211\u4eec\u9700\u8981\u628a\u8fd9\u4e2a\u9ed1\u6846\u6846\u53d8\u5f97\u66f4\u597d\u770b\u66f4\u597d\u7528\u4e9b\u3002Windows \u7ec8\u7aef\u662f\u4e00\u4e2a\u65b0\u7684\u652f\u6301 Pow   \u2026 &#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ngg_post_thumbnail":0},"categories":[240],"tags":[241,242],"_links":{"self":[{"href":"\/index.php?rest_route=\/wp\/v2\/posts\/9169"}],"collection":[{"href":"\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=9169"}],"version-history":[{"count":2,"href":"\/index.php?rest_route=\/wp\/v2\/posts\/9169\/revisions"}],"predecessor-version":[{"id":9171,"href":"\/index.php?rest_route=\/wp\/v2\/posts\/9169\/revisions\/9171"}],"wp:attachment":[{"href":"\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=9169"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=9169"},{"taxonomy":"post_tag","embeddable":true,"href":"\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=9169"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}