[Cherry-pick] Update doc about nvidia-docker2 (#5366)

docs/manual/cluster-admin/installation-guide.md

@@ -115,7 +115,7 @@ Please check the following requirements for different types of worker machines:
       The same as <code>CPU worker</code>, and with the following additional requirements:
       <ul>
         <li><b>NVIDIA GPU Driver is installed.</b> You may use <a href="./installation-faqs-and-troubleshooting.html#how-to-check-whether-the-gpu-driver-is-installed">a command</a> to check it. Refer to <a href="./installation-faqs-and-troubleshooting.html#how-to-install-gpu-driver">the installation guidance</a> in FAQs if the driver is not successfully installed. If you are wondering which version of GPU driver you should use, please also refer to <a href="./installation-faqs-and-troubleshooting.html#which-version-of-nvidia-driver-should-i-install">FAQs</a>.</li>
-        <li><b><a href="https://github.com/NVIDIA/nvidia-container-runtime">nvidia-container-runtime</a> is installed. And be configured as the default runtime of docker.</b> Please configure it in <a href="https://docs.docker.com/config/daemon/#configure-the-docker-daemon">docker-config-file</a>, because systemd's env will be overwritten during installation. You can use command <code>sudo docker run --rm nvidia/cuda:10.0-base nvidia-smi</code> to check it. This command should output information of available GPUs if it is setup properly. Refer to <a href="./installation-faqs-and-troubleshooting.html#how-to-install-nvidia-container-runtime">the installation guidance</a> if it is not successfully set up.</li>
+        <li><b><a href="https://github.com/NVIDIA/nvidia-container-runtime">nvidia-container-runtime</a> is installed. And be configured as the default runtime of docker.</b> Please configure it in <a href="https://docs.docker.com/config/daemon/#configure-the-docker-daemon">docker-config-file (daemon.json)</a>, instead of in the systemd's config. You can use command <code>sudo docker run --rm nvidia/cuda:10.0-base nvidia-smi</code> to check it. This command should output information of available GPUs if it is setup properly. Refer to <a href="./installation-faqs-and-troubleshooting.html#how-to-install-nvidia-container-runtime">the installation guidance</a> if it is not successfully set up. We don't recommend to use <code>nvidia-docker2</code>. For a detailed comparison between <code>nvidia-container-runtime</code> and <code>nvidia-docker2</code>, please refer to <a href="https://github.com/NVIDIA/nvidia-docker/issues/1268#issuecomment-632692949">here</a>. </li>
       </ul>  
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docs_zh_CN/manual/cluster-admin/installation-guide.md

@@ -115,7 +115,7 @@ hivedscheduler是OpenPAI的默认调度器，它支持虚拟集群划分，拓
       需要满足和<code>CPU worker</code>一样的要求，除此之外还有下面的额外要求：
       <ul>
         <li><b>GPU驱动已被正确安装。</b> 您可以用<a href="./installation-faqs-and-troubleshooting.html#how-to-check-whether-the-gpu-driver-is-installed">这个命令</a>来检查。 如果您的GPU驱动未被正确安装，可以参考<a href="./installation-faqs-and-troubleshooting.html#how-to-install-gpu-driver">如何安装GPU驱动</a>。如果您对安装哪个版本的GPU驱动有疑问，可以阅读<a href="./installation-faqs-and-troubleshooting.html#which-version-of-nvidia-driver-should-i-install">这个文档</a>。</li>
-        <li><b><a href="https://github.com/NVIDIA/nvidia-container-runtime">nvidia-container-runtime</a>已被正确安装，并且被设置为Docker的默认runtime。</b> 因为systemd的配置会在接下来安装过程中被覆盖，所以请不要在systemd里设置 docker 默认runtime，而是在<a href="https://docs.docker.com/config/daemon/#configure-the-docker-daemon">docker-config-file</a>里进行设置。 您可以使用命令<code>sudo docker run --rm nvidia/cuda:10.0-base nvidia-smi</code> 来检查这一项。如果该命令成功打出当前可用的显卡个数，就说明设置是没问题的。如果它未被正确安装，请参考<a href="./installation-faqs-and-troubleshooting.html#how-to-install-nvidia-container-runtime">如何安装nvidia container runtime</a>。</li>
+        <li><b><a href="https://github.com/NVIDIA/nvidia-container-runtime">nvidia-container-runtime</a>已被正确安装，并且被设置为Docker的默认runtime。</b> 因为systemd的配置会在接下来安装过程中被覆盖，所以请不要在systemd里设置 docker 默认runtime，而是在<a href="https://docs.docker.com/config/daemon/#configure-the-docker-daemon">docker-config-file (daemon.json)</a>里进行设置。 您可以使用命令<code>sudo docker run --rm nvidia/cuda:10.0-base nvidia-smi</code> 来检查这一项。如果该命令成功打出当前可用的显卡个数，就说明设置是没问题的。如果它未被正确安装，请参考<a href="./installation-faqs-and-troubleshooting.html#how-to-install-nvidia-container-runtime">如何安装nvidia container runtime</a>。 我们不推荐您使用<code>nvidia-docker2</code>。 有关 <code>nvidia-container-runtime</code> 和 <code>nvidia-docker2</code> 的详细对比，请参考<a href="https://github.com/NVIDIA/nvidia-docker/issues/1268#issuecomment-632692949">这里</a>。</li>
       </ul>  
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