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<title>深度学习参考堆栈 &mdash; Documentation for Clear Linux* project</title>
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<li class="toctree-l1"><a class="reference internal" href="../../../get-started/index.html">开始使用</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../../../get-started/index.html#pre-install">安装前</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../../get-started/compatibility-check.html">检查处理器和 EFI 固件的兼容性</a><ul>
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<li class="toctree-l3"><a class="reference internal" href="../../../get-started/bare-metal-install-desktop.html">从实时桌面安装 Clear Linux* OS</a><ul>
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<li class="toctree-l4"><a class="reference internal" href="../../../get-started/bare-metal-install-desktop.html#preliminary-steps">初始步骤</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../../../get-started/bare-metal-install-server.html">使用实时服务器将 Clear Linux* OS 安装在裸机上</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/bare-metal-install-server.html#system-requirements">系统要求</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/bare-metal-install-server.html#download-the-latest-cl-live-server-image">下载最新的 Clear Linux OS 实时服务器映像</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/bare-metal-install-server.html#install-cl-on-your-target-system">在目标系统上安装 Clear Linux OS</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/bare-metal-install-server.html#launch-the-cl-installer">启动 Clear Linux OS 安装程序</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/bare-metal-install-server.html#minimum-installation-requirements">最低安装要求</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../../../get-started/bare-metal-install-server.html#navigation">导航</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../../../get-started/bare-metal-install-server.html#advanced-options">高级选项</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/bare-metal-install-server.html#finish-installation">完成安装</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../../../get-started/install-configfile.html">利用 clr-installer 和配置文件安装</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/install-configfile.html#prerequisites">必备条件</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/install-configfile.html#process">流程</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/install-configfile.html#references">参考</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../../get-started/index.html#install-in-a-virtual-machine">在虚拟机上安装</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../../get-started/virtual-machine-install/hyper-v.html">Microsoft Hyper-V* 上的 Clear Linux* OS</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/hyper-v.html#prerequisites">必备条件</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/hyper-v.html#enable-hyper-v">启用 Hyper-V</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/hyper-v.html#create-a-virtual-network">创建虚拟网络</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../../../get-started/virtual-machine-install/kvm.html">KVM 上的 Clear Linux* OS</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/kvm.html#install-qemu-kvm">安装 QEMU-KVM</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/kvm.html#download-and-launch-the-virtual-machine">下载并开启虚拟机</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/kvm.html#ssh-access-into-the-virtual-machine">通过 SSH 访问虚拟机</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/kvm.html#optional-add-the-gnome-display-manager-gdm">可选：添加 GNOME Display Manager (GDM)</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../../get-started/virtual-machine-install/virtualbox-cl-installer.html">VirtualBox* 上的 Clear Linux* OS</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/virtualbox-cl-installer.html#prerequisites">必备条件</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/virtualbox-cl-installer.html#download-and-extract-the-cl-installer-iso">下载并解压缩 Clear Linux OS 安装程序 ISO</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/virtualbox-cl-installer.html#create-a-new-vb-virtual-machine">创建新的 VirtualBox 虚拟机</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/virtualbox-cl-installer.html#install-cl-on-the-vb-vm">在 VirtualBox 虚拟机上安装 Clear Linux OS。</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/virtualbox-cl-installer.html#troubleshooting">故障检修</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmw-player.html">VMware* Workstation Player 上的 Clear Linux* OS</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmw-player.html#overview">概述</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmw-player.html#install-the-vmware-workstation-player-hypervisor">安装 VMware Workstation Player 虚拟机管理程序</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmw-player.html#download-the-latest-cl-installer">下载最新的 Clear Linux OS 安装程序</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmw-player.html#create-and-configure-a-new-vm">创建并配置新虚拟机</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmw-player.html#enable-uefi-boot-support">启用 UEFI 引导支持</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmw-player.html#install-cl-into-the-new-vm">将 Clear Linux OS 安装至新虚拟机</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmw-player.html#detach-the-cl-installer-iso-from-the-vm">从虚拟机断开 Clear Linux OS 安装程序 ISO</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmw-player.html#install-open-vm-tools">安装 open-vm-tools</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmw-player.html#related-topics">相关主题</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmw-player-preconf.html">VMware* Workstation Player （预配置映像）上的 Clear Linux* OS</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmw-player-preconf.html#overview">概述</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmw-player-preconf.html#install-the-vmware-workstation-player-hypervisor">安装 VMware Workstation Player 虚拟机管理程序</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmw-player-preconf.html#download-the-latest-cl-vmware-image">下载最新的 Clear Linux OS VMware 映像</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmw-player-preconf.html#decompress-and-verify-the-image">解压缩并验证映像</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmw-player-preconf.html#create-and-configure-a-new-vm">创建并配置新虚拟机</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmw-player-preconf.html#attach-the-pre-configured-cl-vmware-image">挂载预配置的 Clear Linux OS Vmware 映像</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmw-player-preconf.html#enable-uefi-boot-support">启用 UEFI 引导支持</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmw-player-preconf.html#power-on-the-vm">开启虚拟机</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmw-player-preconf.html#related-topics">相关主题</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmware-esxi-install-cl.html">VMware* ESXi 上的 Clear Linux* OS</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmware-esxi-install-cl.html#overview">概述</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmware-esxi-install-cl.html#download-the-latest-cl-installer-iso">下载最新的 Clear Linux OS 安装程序 ISO</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmware-esxi-install-cl.html#upload-the-cl-installer-iso-to-the-vmware-server">将 Clear Linux OS 安装程序 ISO 上传至 VMware 服务器</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmware-esxi-install-cl.html#create-and-configure-a-new-vm">创建并配置新虚拟机</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmware-esxi-install-cl.html#install-cl-into-the-new-vm">将 Clear Linux OS 安装至新虚拟机</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmware-esxi-install-cl.html#reconfigure-the-vm-s-settings-to-boot-the-newly-installed-cl">重新配置虚拟机设置，以引导新安装的 Clear Linux OS</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmware-esxi-install-cl.html#power-on-the-vm-and-boot-cl">开启虚拟机，引导 Clear Linux OS</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmware-esxi-install-cl.html#related-topics">相关主题</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmware-esxi-preconfigured-cl-image.html">VMware* ESXi（预配置映像）上的 Clear Linux* OS</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmware-esxi-preconfigured-cl-image.html#overview">概述</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmware-esxi-preconfigured-cl-image.html#download-the-latest-cl-vmware-image">下载最新的 Clear Linux OS VMware 映像</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmware-esxi-preconfigured-cl-image.html#upload-the-cl-image-to-the-vmware-server">将 Clear Linux OS 映像上传至 VMware 服务器</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmware-esxi-preconfigured-cl-image.html#convert-the-cl-image-to-an-esxi-supported-format">将 Clear Linux OS 映像转换为 ESXi 支持的格式。</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmware-esxi-preconfigured-cl-image.html#create-and-configure-a-new-vm">创建并配置新虚拟机</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmware-esxi-preconfigured-cl-image.html#power-on-the-vm-and-boot-cl">开启虚拟机，引导 Clear Linux OS</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/virtual-machine-install/vmware-esxi-preconfigured-cl-image.html#related-topics">相关主题</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../maintenance/increase-virtual-disk-size.html">增加映像的虚拟磁盘大小</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/increase-virtual-disk-size.html#determine-the-partition-order-and-sizes-of-the-prebuilt-image">确定预构建映像的分区顺序和大小。</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/increase-virtual-disk-size.html#id2">增加虚拟盘大小</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="../../../get-started/index.html#deploy-to-the-cloud">部署到云</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../../get-started/cloud-install/aws-web.html">Amazon Web Services* 上的 Clear Linux* OS</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/cloud-install/aws-web.html#prerequisites">必备条件</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/cloud-install/aws-web.html#locate-select-and-launch-the-cl-basic-ami">找到、选择并启动 Clear Linux OS 基本 AMI</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/cloud-install/aws-web.html#connect-to-your-clear-linux-os-basic-instance">连接到 Clear Linux 操作系统基本实例</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/cloud-install/aws-web.html#update-the-cl-instance">更新 Clear Linux OS 实例</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/cloud-install/aws-web.html#stop-the-cl-instance">停止 Clear Linux OS 实例</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../../get-started/cloud-install/azure.html">Microsoft* Azure* 上的 Clear Linux* OS</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/cloud-install/azure.html#install-ms-azure-cli-2-0-on-cl">在 Clear Linux OS 中安装 Microsoft Azure CLI 2.0</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/cloud-install/azure.html#log-into-your-microsoft-azure-account">登录到您的 Microsoft Azure 帐户</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/cloud-install/azure.html#create-a-ms-azure-resource-group">创建 Microsoft Azure 资源组</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/cloud-install/azure.html#create-and-log-into-the-cl-virtual-machine">创建 Clear Linux OS 虚拟机并登录到该虚拟机</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/cloud-install/azure.html#stop-and-deallocate-the-cl-vm-and-resources">停止并取消分配 Clear Linux OS 虚拟机和资源</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/cloud-install/azure.html#next-steps">后续步骤</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../../get-started/cloud-install/gce.html">Google Cloud Platform* 上的 Clear Linux* OS</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/cloud-install/gce.html#prerequisites">必备条件</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/cloud-install/gce.html#setup-cl-vm-on-gcp">在 GCP 上安装 Clear Linux OS 虚拟机</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/cloud-install/gce.html#related-topics">相关主题</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../../get-started/cloud-install/qingcloud.html">Clear Linux* OS on QingCloud* (如何在青云 QingCloud 上创建 Clear Linux OS 虚拟主机)</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/cloud-install/qingcloud.html#id2">必备条件</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/cloud-install/qingcloud.html#qingcloud-cl">在 QingCloud 控制台中选择并启动 Clear Linux OS 虚拟主机</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/cloud-install/qingcloud.html#ip">申请公网IP并添加到虚拟主机</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/cloud-install/qingcloud.html#cl">连接到 Clear Linux OS 虚拟主机</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/cloud-install/qingcloud.html#id3">删除 Clear Linux OS 虚拟主机</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../get-started/cloud-install/qingcloud.html#id4">删除申请的公网IP</a></li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="../../../about.html">关于</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../../../about.html#release-cadence">发行节奏</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../../about.html#updates">更新</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../../about.html#ease-of-use">易用性</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../../about.html#custom-derivatives">自定义衍生工具</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../../about.html#create">创建</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../about.html#deploy">部署</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../about.html#administrate">管理</a></li>
</ul>
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<li class="toctree-l1 current"><a class="reference internal" href="../../index.html">指南</a><ul class="current">
<li class="toctree-l2"><a class="reference internal" href="../../index.html#clear-linux">Clear Linux</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../clear/autoproxy.html">Autoproxy</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../clear/autoproxy.html#description">描述</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/autoproxy.html#how-it-works">工作原理</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../clear/autospec.html">autospec</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../clear/autospec.html#description">描述</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/autospec.html#how-it-works">工作原理</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/autospec.html#examples">示例</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/autospec.html#test-packaged-software">测试封装后的软件</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/autospec.html#references">参考</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/autospec.html#related-topics">相关主题</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../clear/bundles.html">bundle 文件</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../clear/bundles.html#related-topics">相关主题</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../clear/compatible-kernels.html">内核</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../clear/compatible-kernels.html#bare-metal-only">仅限裸机</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/compatible-kernels.html#also-compatible-with-vms">也与虚拟机兼容</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/compatible-kernels.html#vm-only">仅限虚拟机</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../clear/debug.html">调试系统</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../clear/debug.html#background">后台</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/debug.html#usage">用途</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/debug.html#implementation">实施</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../clear/ister.html">ister.py image builder</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../clear/ister.html#description">描述</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/ister.html#examples">示例</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/ister.html#related-topics">相关主题</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../clear/mixer.html">mixer</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../clear/mixer.html#description">描述</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/mixer.html#how-it-works">工作原理</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/mixer.html#examples">示例</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/mixer.html#references">参考</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/mixer.html#related-topics">相关主题</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../clear/security.html">操作系统安全性</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../clear/security.html#security-in-updates">更新方面的安全举措</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/security.html#security-in-software">软件方面的安全举措</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/security.html#security-in-system-design">系统设计方面的安全举措</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../clear/stateless.html">无状态</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../clear/stateless.html#file-level-separation">文件级隔离</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/stateless.html#software-configuration">软件配置</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/stateless.html#system-reset">系统重置</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/stateless.html#additional-information">附加说明</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../clear/swupd.html">swupd</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../clear/swupd.html#description">描述</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/swupd.html#how-it-works">工作原理</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/swupd.html#examples">示例</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/swupd.html#quick-reference">快速参考</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/swupd.html#related-topics">相关主题</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../clear/telemetrics.html">遥测</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../clear/telemetrics.html#overview">概述</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/telemetrics.html#how-to-use">使用方法</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/telemetrics.html#examples">示例</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../clear/telemetrics.html#reference">参考</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="../../index.html#maintenance">维护</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../maintenance/architect-lifecycle.html">设计 Clear Linux* OS 生命周期</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/architect-lifecycle.html#prerequisites">必备条件</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/architect-lifecycle.html#description">描述</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/architect-lifecycle.html#content-workflow">内容工作流程</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/architect-lifecycle.html#release-workflow">版本工作流程</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/architect-lifecycle.html#implementation">实施</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../maintenance/assign-static-ip.html">分配静态 IP 地址</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/assign-static-ip.html#identify-which-program-is-managing-the-interface">确定哪个程序正在管理接口</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/assign-static-ip.html#using-networkmanager">使用 NetworkManager</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/assign-static-ip.html#using-systemd-networkd">使用 systemd-networkd</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../maintenance/bulk-provision.html">批量供应</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/bulk-provision.html#overview">概述</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/bulk-provision.html#prerequisites">必备条件</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/bulk-provision.html#configuration">配置</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../maintenance/cpu-performance.html">CPU 功率和性能</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/cpu-performance.html#overview">概述</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/cpu-performance.html#cpu-power-saving-mechanisms">CPU 节能机制</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/cpu-performance.html#linux-cpu-clock-frequency-scaling">Linux CPU 时钟频率缩放</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/cpu-performance.html#thermal-management">散热管理</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../maintenance/deploy-at-scale.html">大规模部署</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/deploy-at-scale.html#overview">概述</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/deploy-at-scale.html#pick-a-usage-and-update-strategy">选择使用和更新策略</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/deploy-at-scale.html#pick-an-image-distribution-strategy">选择映像分发策略</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/deploy-at-scale.html#considerations-with-stateless-systems">有关无状态系统的注意事项</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../maintenance/developer-workstation.html">开发人员工作站</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/developer-workstation.html#workstation-setup">工作站设置</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/developer-workstation.html#swupd-search">swupd 搜索</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/developer-workstation.html#core-concepts">核心概念</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../maintenance/download-verify-decompress.html">下载、验证并解压缩 Clear Linux* OS 映像，</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/download-verify-decompress.html#linux-os-steps">Linux 操作系统步骤</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/download-verify-decompress.html#macos-steps">macOS* 步骤</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/download-verify-decompress.html#windows-os-steps">Windows* 操作系统步骤</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/download-verify-decompress.html#image-types">映像类型</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../maintenance/enable-user-space.html">创建并启用新的用户空间</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/enable-user-space.html#create-a-new-user">创建新用户</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/enable-user-space.html#add-the-new-user-to-the-wheel-group">将新用户添加到 wheel 组</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/enable-user-space.html#install-and-update-the-os-software-to-its-current-version">安装操作系统软件并将其更新到最新版本</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/enable-user-space.html#add-a-bundle">添加捆绑包</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/enable-user-space.html#next-steps">后续步骤</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../maintenance/fix-broken-install.html">修复损坏的安装</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/fix-broken-install.html#overview">概述</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/fix-broken-install.html#prerequisites">必备条件</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/fix-broken-install.html#boot-a-live-desktop-image-to-fix-target-system">引导实时桌面映像来修复目标系统</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/fix-broken-install.html#install-from-live-image">从实时映像安装</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/fix-broken-install.html#mount-root-partition-verify-and-fix">挂载根分区，然后验证并修复</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../maintenance/hostname.html">修改主机名</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/hostname.html#overview">概述</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/hostname.html#set-your-hostname">设置主机名</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/hostname.html#view-your-hostname">查看主机名</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../maintenance/increase-virtual-disk-size.html">增加映像的虚拟磁盘大小</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/increase-virtual-disk-size.html#determine-the-partition-order-and-sizes-of-the-prebuilt-image">确定预构建映像的分区顺序和大小。</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/increase-virtual-disk-size.html#id2">增加虚拟盘大小</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../maintenance/query-upstream.html">从上游存储库查询软件包信息</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/query-upstream.html#overview">概述</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/query-upstream.html#prerequisites">必备条件</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/query-upstream.html#configure-dnf">配置 DNF</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/query-upstream.html#dnf-command-usage-examples">DNF 命令用法示例</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../maintenance/resource-limits.html">资源限制</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/resource-limits.html#system-wide-limits">系统范围限制</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/resource-limits.html#per-user-limits">每用户限制</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/resource-limits.html#service-limits">服务限制</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../maintenance/restart.html">操作系统更新后重启系统服务</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/restart.html#overview">概述</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/restart.html#how-it-works">工作原理</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/restart.html#basic-options">基本选项</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/restart.html#monitor-options">监控选项</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/restart.html#example">示例</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/restart.html#telemetry">遥测技术</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/restart.html#conclusion">总结</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../maintenance/time.html">设置时间</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../maintenance/validate-signatures.html">验证签名</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/validate-signatures.html#overview">概述</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/validate-signatures.html#image-content-validation">映像内容验证</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../maintenance/validate-signatures.html#update-content-validation">更新内容验证</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="../../index.html#network">网络</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../network/custom-clear-container.html">根据 Docker 容器映像构建一个自定义 Clear Linux* OS</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../network/custom-clear-container.html#prerequisites">必备条件</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../network/custom-clear-container.html#build-the-base-container-image">构建基础容器映像</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../network/custom-clear-container.html#manage-bundles-in-a-container">管理容器中的捆绑包</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../network/dpdk.html">使用 DPDK 在平台之间发送数据包</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../network/dpdk.html#overview">概述</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../network/dpdk.html#prerequisites">必备条件</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../network/dpdk.html#install-dpdk-and-build-l3fwd-example-platform-b">安装 dpdk 并构建 l3fwd 示例（平台 B）</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../network/dpdk.html#build-pktgen-platform-a">构建 pktgen（平台 A）</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../../network/dpdk.html#set-hugepages-platforms-a-and-b">设置大页（平台 A 和 B）</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../../network/ipxe-install.html">使用 iPXE 通过网络安装</a><ul>
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<li class="toctree-l3"><a class="reference internal" href="../../network/network-bonding.html">使用网络捆绑聚合多个接口</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../network/openssh-server.html">启用并配置 SSH 服务</a><ul>
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<li class="toctree-l4"><a class="reference internal" href="../../network/openssh-server.html#prerequisites">必备条件</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../network/openssh-server.html#change-default-port">更改默认端口</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../../network/openssh-server.html#enable-x11-forwarding">启用 X11 转发</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../../network/vnc.html">使用 VNC 通过远程桌面连接到主机</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../network/vnc.html#install-the-vnc-server-and-misc-components-on-your-host">在主机上安装 VNC 服务器和其他组件</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../network/vnc.html#configure-a-vnc-server-start-method-on-your-host">在主机上配置 VNC-server-start 方法</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../network/vnc.html#install-a-vnc-viewer-app-and-an-ssh-client-on-your-client-system">在客户端系统上安装一个 VNC 查看器应用程序和一个 SSH 客户端</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../network/vnc.html#establish-a-vnc-connection-to-your-host">与主机建立 VNC 连接</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../../network/vnc.html#encrypt-vnc-traffic-through-an-ssh-tunnel">通过 SSH 隧道加密 VNC 流量</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../index.html#kernel">内核</a><ul>
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<li class="toctree-l3"><a class="reference internal" href="../../kernel/kernel-modules.html">手动添加内核模块</a><ul>
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<li class="toctree-l3"><a class="reference internal" href="../../kernel/kernel-modules-dkms.html">使用 DKMS 添加内核模块</a><ul>
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<li class="toctree-l3 current"><a class="current reference internal" href="#">深度学习参考堆栈</a><ul>
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<div class="section" id="deep-learning-reference-stack">
<span id="dlrs2"></span><h1>深度学习参考堆栈<a class="headerlink" href="#deep-learning-reference-stack" title="永久链接至标题"></a></h1>
<p>本教程介绍如何在 Clear Linux* OS 中使用深度学习参考堆栈运行 TensorFlow*、PyTorch* 和 Kubeflow 基准工作负载。</p>
<div class="contents local topic" id="id1">
<ul class="simple">
<li><a class="reference internal" href="#overview" id="id3">概述</a></li>
<li><a class="reference internal" href="#tensorflow-single-and-multi-node-benchmarks" id="id4">TensorFlow 单节点和多节点基准测试</a></li>
<li><a class="reference internal" href="#pytorch-single-and-multi-node-benchmarks" id="id5">PyTorch 单节点和多节点基准测试</a></li>
<li><a class="reference internal" href="#kubeflow-multi-node-benchmarks" id="id6">Kubeflow 多节点基准测试</a></li>
<li><a class="reference internal" href="#use-jupyter-notebook" id="id7">使用 Jupyter Notebook</a></li>
<li><a class="reference internal" href="#uninstallation" id="id8">卸载</a></li>
<li><a class="reference internal" href="#related-topics" id="id9">相关主题</a></li>
</ul>
</div>
<div class="section" id="overview">
<h2><a class="toc-backref" href="#id3">概述</a><a class="headerlink" href="#overview" title="永久链接至标题"></a></h2>
<p>我们打造了深度学习参考堆栈来帮助 AI 开发人员在英特尔架构上获得最佳开发体验。此堆栈降低了深度学习软件组件常见的复杂性，为自定义解决方案提供了灵活性，并使您能够快速构建原型并部署深度学习工作负载。使用本教程可在您的解决方案上运行基准工作负载。</p>
<p>深度学习参考堆栈有以下版本：</p>
<ul class="simple">
<li><a class="reference external" href="https://hub.docker.com/r/clearlinux/stacks-dlrs-mkl-vnni">Intel MKL-DNN-VNNI</a>，它使用面向深度神经网络（英特尔® MKL-DNN）原语的英特尔®数学内核库进行优化，并支持英特尔® AVX-512 矢量神经网络指令 (VNI)。</li>
<li><a class="reference external" href="https://hub.docker.com/r/clearlinux/stacks-dlrs-mkl/">Intel MKL-DNN</a>，它包括使用面向深度神经网络（英特尔® MKL-DNN）原语的英特尔®数学内核库进行优化的 TensorFlow 框架。</li>
<li><a class="reference external" href="https://hub.docker.com/r/clearlinux/stacks-dlrs-oss/">Eigen</a>，它包括针对英特尔®架构优化的 <a class="reference external" href="https://www.tensorflow.org/">TensorFlow</a>。</li>
<li><a class="reference external" href="https://hub.docker.com/r/clearlinux/stacks-pytorch-oss">PyTorch with OpenBLAS</a>，它包括 PyTorch with OpenBlas。</li>
<li><a class="reference external" href="https://hub.docker.com/r/clearlinux/stacks-pytorch-mkl">PyTorch with Intel MKL-DNN</a>，它包括使用英特尔®数学内核库（英特尔® MKL）和英特尔 MKL-DNN 进行优化的 PyTorch。</li>
</ul>
<div class="admonition important">
<p class="first admonition-title">重要</p>
<p>要利用英特尔® AVX-512 和 VNI 功能以及深度学习参考堆栈，您必须使用以下硬件：</p>
<ul class="last simple">
<li>英特尔® AVX-512 映像需要使用英特尔®至强®可扩展平台</li>
<li>VNNI 需要使用第二代英特尔®至强®可扩展平台</li>
</ul>
</div>
<div class="section" id="stack-features">
<h3>堆栈功能和特性<a class="headerlink" href="#stack-features" title="永久链接至标题"></a></h3>
<ul class="simple">
<li><a class="reference external" href="https://clearlinux.org/stacks/deep-learning-reference-stack-v3">DLRS V3.0</a> 发布公告。</li>
<li>深度学习参考堆栈 v2.0，包括最新的 <a class="reference external" href="https://clearlinux.org/stacks/deep-learning-reference-stack-pytorch">PyTorch benchmark results</a>。</li>
<li>深度学习参考堆栈 v1.0，包括最新的 <a class="reference external" href="https://clearlinux.org/stacks/deep-learning-reference-stack">TensorFlow benchmark results</a>。</li>
<li><a class="reference external" href="https://github.com/clearlinux/dockerfiles/blob/master/stacks/dlrs/releasenote.md">DLRS Release notes</a> on Github*，了解深度学习参考堆栈的最新版本。</li>
</ul>
<div class="admonition note">
<p class="first admonition-title">注解</p>
<p class="last">深度学习参考堆栈是一项集体成果，成果中的每一个软件都有自己的许可证。有关深度学习参考堆栈的许可和使用的更多详细信息，请参阅 <a class="reference external" href="https://clearlinux.org/stacks/deep-learning/terms-of-use">DLRS Terms of Use</a>。</p>
</div>
</div>
<div class="section" id="prerequisites">
<h3>必备条件<a class="headerlink" href="#prerequisites" title="永久链接至标题"></a></h3>
<ul class="simple">
<li>在主机系统上 <a class="reference internal" href="../../../get-started/bare-metal-install-desktop.html#bare-metal-install-desktop"><span class="std std-ref">Install</span></a> Clear Linux OS</li>
<li><strong class="command">containers-basic</strong> 捆绑包</li>
<li><strong class="command">cloud-native-basic</strong> 捆绑包</li>
</ul>
<p>在 Clear Linux OS 中，<strong class="command">containers-basic</strong> 包括 TensorFlow 和 PyTorch 基准测试所必需的 Docker*。使用 <strong class="command">swupd</strong> 实用程序检查 <strong class="command">containers-basic</strong> 和 <strong class="command">cloud-native-basic</strong> 是否存在：</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>sudo swupd bundle-list
</pre></div>
</div>
<p>要安装 <strong class="command">containers-basic</strong> 或 <strong class="command">cloud-native-basic</strong> 捆绑包，请输入：</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>sudo swupd bundle-add containers-basic cloud-native-basic
</pre></div>
</div>
<p>安装 <strong class="command">containers-basic</strong> 捆绑包后 Docker 不会启动。要启动 Docker，请输入：</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>sudo systemctl start docker
</pre></div>
</div>
<p>要确保正确安装和配置 Kubernetes，请遵循 <a class="reference internal" href="../../../tutorials/kubernetes.html#kubernetes"><span class="std std-ref">Kubernetes*</span></a> 中的说明。</p>
</div>
<div class="section" id="version-compatibility">
<h3>版本兼容性<a class="headerlink" href="#version-compatibility" title="永久链接至标题"></a></h3>
<p>我们根据以下软件包版本验证了这些步骤：</p>
<ul class="simple">
<li>Clear Linux OS 26240（支持的最低版本）</li>
<li>Docker 18.06.1</li>
<li>Kubernetes 1.11.3</li>
<li>Go 1.11.12</li>
</ul>
<div class="admonition note">
<p class="first admonition-title">注解</p>
<p class="last">深度学习参考堆栈是为了在 Clear Linux OS 主机上执行时获得最佳用户体验而开发的。但是，该堆栈在容器环境中运行时，您应该能够在其他 Linux* 发行版上完成本教程的以下部分，只要这些发行版满足上面列出的 Docker*、Kubernetes* 和 Go* 软件包版本。查找关于如何更新软件包和管理 Docker 服务的分发版文档。</p>
</div>
</div>
</div>
<div class="section" id="tensorflow-single-and-multi-node-benchmarks">
<h2><a class="toc-backref" href="#id4">TensorFlow 单节点和多节点基准测试</a><a class="headerlink" href="#tensorflow-single-and-multi-node-benchmarks" title="永久链接至标题"></a></h2>
<p>本部分介绍在单节点中运行 <a class="reference external" href="https://www.tensorflow.org/guide/performance/benchmarks">TensorFlow benchmarks</a>。对于多节点测试，请为每个节点重复这些步骤。这些步骤提供了运行其他基准测试的模板，前提是它们可以调用 TensorFlow。</p>
<div class="admonition note">
<p class="first admonition-title">注解</p>
<p class="last">深度学习参考堆栈和本教程的性能测试结果是使用 <cite>runc</cite> 作为运行时获得的。</p>
</div>
<ol class="arabic">
<li><p class="first">从 <a class="reference external" href="https://hub.docker.com/">Docker Hub</a> 下载 <a class="reference external" href="https://hub.docker.com/r/clearlinux/stacks-dlrs-oss/">Eigen</a> 或 <a class="reference external" href="https://hub.docker.com/r/clearlinux/stacks-dlrs-mkl/">Intel MKL-DNN</a> Docker 映像。</p>
</li>
<li><p class="first">使用 Docker 运行映像：</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker run --name &lt;image name&gt; --rm -i -t &lt;clearlinux/
stacks-dlrs-TYPE&gt; bash
</pre></div>
</div>
<div class="admonition note">
<p class="first admonition-title">注解</p>
<p class="last">使用 <strong class="command">-i</strong> 参数启动 Docker 映像，从而在容器内启动交互模式。在正在运行的容器中输入以下命令。</p>
</div>
</li>
<li><p class="first">克隆容器中的基准测试存储库：</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>git clone http://github.com/tensorflow/benchmarks -b cnn_tf_v1.12_compatible
</pre></div>
</div>
</li>
<li><p class="first">执行基准测试脚本：</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python benchmarks/scripts/tf_cnn_benchmarks/tf_cnn_benchmarks.py --device<span class="o">=</span>cpu --model<span class="o">=</span>resnet50 --data_format<span class="o">=</span>NHWC
</pre></div>
</div>
</li>
</ol>
<div class="admonition note">
<p class="first admonition-title">注解</p>
<p>您可以将该模型更换为 TensorFlow 支持的其他模型。</p>
<p class="last">如果使用基于 FP32 的模型，可以使用 <a class="reference external" href="https://github.com/IntelAI/tools/blob/master/tensorflow_quantization/README.md#quantization-tools">Intel® quantization tools</a> 将其转换为 int8 模型。</p>
</div>
</div>
<div class="section" id="pytorch-single-and-multi-node-benchmarks">
<h2><a class="toc-backref" href="#id5">PyTorch 单节点和多节点基准测试</a><a class="headerlink" href="#pytorch-single-and-multi-node-benchmarks" title="永久链接至标题"></a></h2>
<p>本部分介绍在单节点中运行针对 Caffe2 的 <a class="reference external" href="https://github.com/pytorch/pytorch/blob/master/caffe2/python/convnet_benchmarks.py">PyTorch benchmarks</a>。</p>
<ol class="arabic">
<li><p class="first">从 <a class="reference external" href="https://hub.docker.com/">Docker Hub</a> 下载 <a class="reference external" href="https://hub.docker.com/r/clearlinux/stacks-pytorch-oss">PyTorch with OpenBLAS</a> 或 <a class="reference external" href="https://hub.docker.com/r/clearlinux/stacks-pytorch-mkl">PyTorch with Intel MKL-DNN</a> Docker 映像。</p>
</li>
<li><p class="first">使用 Docker 运行映像：</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker run --name &lt;image name&gt; --rm -i -t &lt;clearlinux/stacks-dlrs-TYPE&gt; bash
</pre></div>
</div>
<div class="admonition note">
<p class="first admonition-title">注解</p>
<p class="last">使用 <strong class="command">-i</strong> 参数启动 Docker 映像，从而在容器内启动交互模式。在正在运行的容器中输入以下命令。</p>
</div>
</li>
<li><p class="first">克隆基准测试存储库：</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>git clone https://github.com/pytorch/pytorch.git
</pre></div>
</div>
</li>
<li><p class="first">执行基准测试脚本：</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="nb">cd</span> pytorch/caffe2/python
python convnet_benchmarks.py --batch_size <span class="m">32</span> <span class="se">\</span>
--cpu <span class="se">\</span>
--model AlexNet
</pre></div>
</div>
</li>
</ol>
</div>
<div class="section" id="kubeflow-multi-node-benchmarks">
<h2><a class="toc-backref" href="#id6">Kubeflow 多节点基准测试</a><a class="headerlink" href="#kubeflow-multi-node-benchmarks" title="永久链接至标题"></a></h2>
<p>基准测试工作负载在 Kubernetes 集群中运行。本教程使用 <a class="reference external" href="https://www.kubeflow.org/">Kubeflow</a> 在三个节点上部署机器学习工作负载。</p>
<div class="admonition warning">
<p class="first admonition-title">警告</p>
<p class="last">如果选择英特尔® MKL-DNN 或英特尔® MKL-DNN-VNNI 映像，您的平台必须支持英特尔® AVX-512 指令集。否则，可能会出现非法指令错误，导致无法完成本教程。</p>
</div>
<div class="section" id="kubernetes-setup">
<h3>Kubernetes 设置<a class="headerlink" href="#kubernetes-setup" title="永久链接至标题"></a></h3>
<p>按照 <a class="reference internal" href="../../../tutorials/kubernetes.html#kubernetes"><span class="std std-ref">Kubernetes*</span></a> 教程中的说明在 Clear Linux OS 上进行设置。Kubernetes 社区也提供了 <a class="reference external" href="https://kubernetes.io/docs/setup/independent/create-cluster-kubeadm/">Creating a single control-plane cluster with kubeadm</a>。</p>
</div>
<div class="section" id="kubernetes-networking">
<h3>Kubernetes 网络连接<a class="headerlink" href="#kubernetes-networking" title="永久链接至标题"></a></h3>
<p>在这些测试中，我们使用 <a class="reference external" href="https://github.com/coreos/flannel">flannel</a> 作为网络提供程序。如果青睐不同的网络层，请参阅 Kubernetes <a class="reference external" href="https://kubernetes.io/docs/setup/independent/create-cluster-kubeadm/">Creating a single control-plane cluster with kubeadm</a> 进行设置。</p>
</div>
<div class="section" id="kubectl">
<h3>Kubectl<a class="headerlink" href="#kubectl" title="永久链接至标题"></a></h3>
<p>您可以使用 kubectl 对您的 Kubernetes 集群运行命令。有关语法和操作的详细信息，请参阅 <a class="reference external" href="https://kubernetes.io/docs/reference/kubectl/overview/">Overview of kubectl</a>。建立一个 Kubernetes 工作集群后，请使用下面的 YAML 脚本启动一个含有简单 shell 脚本的 Pod，并保持该 Pod 处于打开状态。</p>
<ol class="arabic">
<li><p class="first">将 example.yaml 脚本复制到您的系统中：</p>
<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">apiVersion: v1</span>
<span class="go">kind: Pod</span>
<span class="go">metadata:</span>
<span class="go"> name: example-pod</span>
<span class="go"> labels:</span>
<span class="go"> app: ex-pod</span>
<span class="go">spec:</span>
<span class="go"> containers:</span>
<span class="go"> - name: ex-pod-container</span>
<span class="go"> image: clearlinux/stacks-dlrs-mkl:latest</span>
<span class="go"> command: [&#39;/bin/bash&#39;, &#39;-c&#39;, &#39;--&#39;]</span>
<span class="go"> args: [ &quot;while true; do sleep 30; done&quot; ]</span>
</pre></div>
</div>
</li>
<li><p class="first">使用 kubectl 执行该脚本：</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>kubectl apply –f &lt;path-to-yaml-file&gt;/example.yaml
</pre></div>
</div>
</li>
</ol>
<p>该脚本打开一个 Pod。更稳健的解决方案是创建部署，或者将 python 脚本或更大的 shell 脚本注入容器。</p>
</div>
<div class="section" id="images">
<h3>图像<a class="headerlink" href="#images" title="永久链接至标题"></a></h3>
<p>您必须将 <a class="reference external" href="https://github.com/clearlinux/dockerfiles/tree/master/stacks/dlrs/kubeflow">launcher.py</a> 添加到 Docker 映像中，以包含深度学习参考堆栈，并将基准测试存储库放在正确的位置。请注意，本教程使用 Kubeflow v0.4.0。如果使用不同的版本，则不能保证结果。</p>
<p>从 Docker 映像中，运行以下命令：</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>mkdir -p /opt
git clone https://github.com/tensorflow/benchmarks.git /opt/tf-benchmarks
cp launcher.py /opt
chmod u+x /opt/*
</pre></div>
</div>
<p>您的入口点变成 <code class="file docutils literal notranslate"><span class="pre">/opt/launcher.py</span></code>。</p>
<p>这会构建一个可供 TFJob 从 Kubeflow 直接使用的映像。</p>
</div>
<div class="section" id="ksonnet">
<h3>ksonnet*<a class="headerlink" href="#ksonnet" title="永久链接至标题"></a></h3>
<p>Kubeflow 使用 ksonnet* 来管理部署，因此您必须在设置 Kubeflow 之前安装它。</p>
<p>ksonnet 已添加到 Clear Linux OS 版本 27550 中的 <strong class="command">cloud-native-basic</strong> 捆绑包中。如果使用的是较旧的 Clear Linux OS 版本（不推荐），您必须如下所述手动安装 ksonnet。</p>
<p>在 Clear Linux OS 上，请按照下列步骤操作：</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>swupd bundle-add go-basic-dev
<span class="nb">export</span> <span class="nv">GOPATH</span><span class="o">=</span><span class="nv">$HOME</span>/go
<span class="nb">export</span> <span class="nv">PATH</span><span class="o">=</span><span class="nv">$PATH</span>:<span class="nv">$GOPATH</span>/bin
go get github.com/ksonnet/ksonnet
<span class="nb">cd</span> <span class="nv">$GOPATH</span>/src/github.com/ksonnet/ksonnet
make install
</pre></div>
</div>
<p>ksonnet 安装完成后，确保可在整个环境中访问 <cite>ks</cite> 二进制文件。</p>
</div>
<div class="section" id="kubeflow">
<h3>Kubeflow<a class="headerlink" href="#kubeflow" title="永久链接至标题"></a></h3>
<p>Kubernetes 在节点上运行后，请按照 <a class="reference external" href="https://www.kubeflow.org/docs/started/getting-started/">Getting Started with Kubeflow</a> 中的说明设置 <a class="reference external" href="https://www.kubeflow.org/">Kubeflow</a>。</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="nb">export</span> <span class="nv">KUBEFLOW_SRC</span><span class="o">=</span><span class="nv">$HOME</span>/kflow
<span class="nb">export</span> <span class="nv">KUBEFLOW_TAG</span><span class="o">=</span><span class="s2">&quot;v0.4.1&quot;</span>
<span class="nb">export</span> <span class="nv">KFAPP</span><span class="o">=</span><span class="s2">&quot;kflow_app&quot;</span>
<span class="nb">export</span> <span class="nv">K8S_NAMESPACE</span><span class="o">=</span><span class="s2">&quot;kubeflow&quot;</span>
mkdir <span class="si">${</span><span class="nv">KUBEFLOW_SRC</span><span class="si">}</span>
<span class="nb">cd</span> <span class="si">${</span><span class="nv">KUBEFLOW_SRC</span><span class="si">}</span>
ks init <span class="si">${</span><span class="nv">KFAPP</span><span class="si">}</span>
<span class="nb">cd</span> <span class="si">${</span><span class="nv">KFAPP</span><span class="si">}</span>
ks registry add kubeflow github.com/kubeflow/kubeflow/tree/<span class="si">${</span><span class="nv">KUBEFLOW_TAG</span><span class="si">}</span>/kubeflow
ks pkg install kubeflow/common
ks pkg install kubeflow/tf-training
</pre></div>
</div>
<p>接下来，为我们的目的部署主要软件包：tf-job-operator。</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>ks env rm default
kubectl create namespace <span class="si">${</span><span class="nv">K8S_NAMESPACE</span><span class="si">}</span>
ks env add default --namespace <span class="s2">&quot;</span><span class="si">${</span><span class="nv">K8S_NAMESPACE</span><span class="si">}</span><span class="s2">&quot;</span>
ks generate tf-job-operator tf-job-operator
ks apply default -c tf-job-operator
</pre></div>
</div>
<p>这将创建 CustomResourceDefinition (CRD) 端点来启动 TFJob。</p>
</div>
<div class="section" id="run-a-tfjob">
<h3>运行 TFJob<a class="headerlink" href="#run-a-tfjob" title="永久链接至标题"></a></h3>
<ol class="arabic">
<li><p class="first">从 <a class="reference external" href="https://github.com/clearlinux/dockerfiles/tree/master/stacks/dlrs/kubeflow/dlrs-tfjob">dlrs-tfjob</a> 获取用于部署 TFJobs 的 ksonnet 注册表。</p>
</li>
<li><p class="first">按照以下步骤安装 TFJob 组件：</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>ks registry add dlrs-tfjob github.com/clearlinux/dockerfiles/tree/master/stacks/dlrs/kubeflow/dlrs-tfjob
ks pkg install dlrs-tfjob/dlrs-bench
</pre></div>
</div>
</li>
<li><p class="first">导出用于部署的映像名称：</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="nb">export</span> <span class="nv">DLRS_IMAGE</span><span class="o">=</span>&lt;docker_name&gt;
</pre></div>
</div>
<div class="admonition note">
<p class="first admonition-title">注解</p>
<p class="last">将 &lt;docker_name&gt; 替换为前述步骤中指定的映像名称。</p>
</div>
</li>
<li><p class="first">为工作负载生成 Kubernetes 清单，并使用以下命令应用这些清单：</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>ks generate dlrs-resnet50 dlrsresnet50 --name<span class="o">=</span>dlrsresnet50 --image<span class="o">=</span><span class="si">${</span><span class="nv">DLRS_IMAGE</span><span class="si">}</span>
ks generate dlrs-alexnet dlrsalexnet --name<span class="o">=</span>dlrsalexnet --image<span class="o">=</span><span class="si">${</span><span class="nv">DLRS_IMAGE</span><span class="si">}</span>
ks apply default -c dlrsresnet50
ks apply default -c dlrsalexnet
</pre></div>
</div>
</li>
</ol>
<p>这会在 Kubernetes 集群中复制和部署三个测试设置。</p>
</div>
<div class="section" id="results-of-running-this-guide">
<h3>运行本教程的结果<a class="headerlink" href="#results-of-running-this-guide" title="永久链接至标题"></a></h3>
<p>您必须解析 Kubernetes Pod 的日志来检索性能数据。完成后，Pod 仍会存在，并将处于“已完成”状态。您可以从任何一个 Pod 中获取日志来检查基准测试结果。有关 Kubernetes 日志记录的更多信息，请参见 Kubernetes <a class="reference external" href="https://kubernetes.io/docs/concepts/cluster-administration/logging/">Logging Architecture</a> 文档。</p>
</div>
</div>
<div class="section" id="use-jupyter-notebook">
<h2><a class="toc-backref" href="#id7">使用 Jupyter Notebook</a><a class="headerlink" href="#use-jupyter-notebook" title="永久链接至标题"></a></h2>
<p>本示例使用 <a class="reference external" href="https://hub.docker.com/r/clearlinux/stacks-pytorch-oss">PyTorch with OpenBLAS</a> 容器映像。下载后，使用 <strong class="command">-p</strong> 运行 Docker 映像，以指定容器和主机之间的共享端口。本示例使用端口 8888。</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker run --name pytorchtest --rm -i -t -p <span class="m">8888</span>:8888 clearlinux/stacks-pytorch-oss bash
</pre></div>
</div>
<p>启动容器后，启动 Jupyter Notebook。该命令在容器映像内执行。</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>jupyter notebook --ip <span class="m">0</span>.0.0.0 --no-browser --allow-root
</pre></div>
</div>
<p>加载笔记本后，您将看到类似以下内容的输出：</p>
<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">To access the notebook, open this file in a browser: file:///.local/share/jupyter/runtime/nbserver-16-open.html</span>
<span class="go">Or copy and paste one of these URLs:</span>
<span class="go">http://(846e526765e3 or 127.0.0.1):8888/?token=6357dbd072bea7287c5f0b85d31d70df344f5d8843fbfa09</span>
</pre></div>
</div>
<p>从您的主机系统或任何可以访问主机 IP 地址的系统，使用以下命令启动 Web 浏览器。如果没有在主机系统上运行浏览器，请将 <strong class="command">127.0.0.1</strong> 更换为主机的 IP 地址。</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>http://127.0.0.1:8888/?token<span class="o">=</span>6357dbd072bea7287c5f0b85d31d70df344f5d8843fbfa09
</pre></div>
</div>
<p>您的浏览器会显示以下内容：</p>
<div class="figure">
<a class="reference internal image-reference" href="../../../_images/dlrs-fig-1.png"><img alt="Jupyter Notebook" src="../../../_images/dlrs-fig-1.png" style="width: 520.0px; height: 201.0px;" /></a>
</div>
<p>图 1： <span class="guilabel">Jupyter Notebook</span></p>
<p>要创建新笔记本，请点击 <span class="guilabel">New</span>，然后选择 <span class="guilabel">Python 3</span>。</p>
<div class="figure">
<a class="reference internal image-reference" href="../../../_images/dlrs-fig-2.png"><img alt="Create a new notebook" src="../../../_images/dlrs-fig-2.png" style="width: 548.5px; height: 241.5px;" /></a>
</div>
<p>图 2：创建一个新笔记本</p>
<p>此时将显示一个新的空白笔记本，其中有一个单元格可供输入内容。</p>
<div class="figure">
<a class="reference internal image-reference" href="../../../_images/dlrs-fig-3.png"><img alt="New blank notebook" src="../../../_images/dlrs-fig-3.png" style="width: 550.5px; height: 254.0px;" /></a>
</div>
<p>要验证 PyTorch 是否正在工作，请将以下片段复制到空白单元格中，并运行该单元格。</p>
<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">from __future__ import print_function</span>
<span class="go">import torch</span>
<span class="go">x = torch.rand(5, 3)</span>
<span class="go">print(x)</span>
</pre></div>
</div>
<div class="figure">
<a class="reference internal image-reference" href="../../../_images/dlrs-fig-4.png"><img alt="Sample code snippet" src="../../../_images/dlrs-fig-4.png" style="width: 550.5px; height: 253.0px;" /></a>
</div>
<p>运行单元格时，您的输出将如下所示：</p>
<div class="figure">
<a class="reference internal image-reference" href="../../../_images/dlrs-fig-5.png"><img alt="code output" src="../../../_images/dlrs-fig-5.png" style="width: 550.0px; height: 252.5px;" /></a>
</div>
<p>您可以继续在此笔记本中工作，也可以下载现有笔记本来利用深度学习参考堆栈的优化深度学习框架。详情请参阅 <a class="reference external" href="https://jupyter.org/">Jupyter Notebook</a>。</p>
</div>
<div class="section" id="uninstallation">
<h2><a class="toc-backref" href="#id8">卸载</a><a class="headerlink" href="#uninstallation" title="永久链接至标题"></a></h2>
<p>要卸载深度学习参考堆栈，您可以选择停止容器以使其不使用系统资源，或者可以停止容器并将其删除以释放存储空间。</p>
<p>要停止容器，请从主机系统执行以下操作：</p>
<ol class="arabic">
<li><p class="first">找到容器的 ID</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker container ls
</pre></div>
</div>
<p>这将产生类似于以下内容的输出：</p>
<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES</span>
<span class="go">e131dc71d339 clearlinux/stacks-dlrs-oss &quot;/bin/sh -c &#39;bash&#39;&quot; 23 seconds ago Up 21 seconds oss</span>
</pre></div>
</div>
</li>
<li><p class="first">然后，您可以使用 ID 或容器名称来停止容器。本示例使用名称 “oss”：</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker container stop oss
</pre></div>
</div>
</li>
<li><p class="first">验证容器未在运行</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker container ls
</pre></div>
</div>
</li>
<li><p class="first">要从系统中删除容器，您需要知道映像 ID：</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker images
</pre></div>
</div>
<p>该命令会产生类似于以下内容的输出：</p>
<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">REPOSITORY TAG IMAGE ID CREATED SIZE</span>
<span class="go">clearlinux/stacks-dlrs-oss latest 82757ec1648a 4 weeks ago 3.43GB</span>
<span class="go">clearlinux/stacks-dlrs-mkl latest 61c178102228 4 weeks ago 2.76GB</span>
</pre></div>
</div>
</li>
<li><p class="first">要移除映像，请使用映像 ID：</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker rmi 82757ec1648a
</pre></div>
</div>
<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">#</span> docker rmi <span class="m">827</span>
<span class="go">Untagged: clearlinux/stacks-dlrs-oss:latest</span>
<span class="go">Untagged: clearlinux/stacks-dlrs-oss@sha256:381f4b604537b2cb7fb5b583a8a847a50c4ed776f8e677e2354932eb82f18898</span>
<span class="go">Deleted: sha256:82757ec1648a906c504e50e43df74ad5fc333deee043dbfe6559c86908fac15e</span>
<span class="go">Deleted: sha256:e47ecc039d48409b1c62e5ba874921d7f640243a4c3115bb41b3e1009ecb48e4</span>
<span class="go">Deleted: sha256:50c212235d3c33a3c035e586ff14359d03895c7bc701bb5dfd62dbe0e91fb486</span>
</pre></div>
</div>
<p>请注意，您可以只使用映像 ID 的前几个字符来执行 <strong class="command">docker rmi</strong> 命令，前提是它们在系统上是唯一的。</p>
</li>
<li><p class="first">移除映像后，您可以通过以下方式验证它是否已被移除：</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker images
</pre></div>
</div>
</li>
</ol>
</div>
<div class="section" id="related-topics">
<h2><a class="toc-backref" href="#id9">相关主题</a><a class="headerlink" href="#related-topics" title="永久链接至标题"></a></h2>
<ul class="simple">
<li><a class="reference external" href="https://clearlinux.org/stacks/deep-learning-reference-stack-v3">DLRS V3.0</a> 发布公告</li>
<li><a class="reference external" href="https://www.tensorflow.org/guide/performance/benchmarks">TensorFlow Benchmarks</a></li>
<li><a class="reference external" href="https://github.com/pytorch/pytorch/blob/master/caffe2/python/convnet_benchmarks.py">PyTorch benchmarks</a></li>
<li><a class="reference external" href="https://www.kubeflow.org/">Kubeflow</a></li>
<li><a class="reference internal" href="../../../tutorials/kubernetes.html#kubernetes"><span class="std std-ref">Kubernetes*</span></a> 教程</li>
<li><a class="reference external" href="https://jupyter.org/">Jupyter Notebook</a></li>
</ul>
</div>
</div>
</div>
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