[docs] [install] [docker] update English Documents , Supplementary notes in Chinese (#5413)

* [docs] [install] [docker] update English Documents , Supplementary notes in Chinese

* [docs][install][docker] Fix code style check failed

Author: gouzil

docs/install/docker/linux-docker.md

@@ -8,7 +8,7 @@
 
 - 在本地主机上[安装 Docker](https://hub.docker.com/search/?type=edition&offering=community)
 
-- 如需在 Linux 开启 GPU 支持, 需提前[安装 nvidia-container-toolkit](https://github.com/NVIDIA/nvidia-docker)
+- 如需在 Linux 开启 GPU 支持, 需提前[安装 nvidia-container-toolkit](https://github.com/NVIDIA/nvidia-docker) 和 [GPU 驱动](https://docs.nvidia.com/datacenter/tesla/tesla-installation-notes/index.html)
   * 请通过 docker -v 检查 Docker 版本。对于 19.03 之前的版本，您需要使用 nvidia-docker 和 nvidia-docker 命令；对于 19.03 及之后的版本，您将需要使用 nvidia-container-toolkit 软件包和 --gpus all 命令。这两个选项都记录在上面链接的网页上。
 
 注 nvidia-container-toolkit 安装方法:

docs/install/docker/linux-docker_en.md

@@ -8,7 +8,42 @@
 
 - On the local host [Install Docker](https://hub.docker.com/search/?type=edition&offering=community)
 
-- To enable GPU support on Linux, please [Install nvidia-docker](https://github.com/NVIDIA/nvidia-docker)
+- To enable GPU support on Linux, please [Install nvidia-container-toolkit](https://github.com/NVIDIA/nvidia-docker) and [GPU driver](https://docs.nvidia.com/datacenter/tesla/tesla-installation-notes/index.html)
+
+  * Please check the Docker version with docker -v. For versions prior to 19.03, You need to use the nvidia-docker and nvidia-docker commands; For versions 19.03 and later, you will need to use the nvidia-container-toolkit package and the --gpus all command. Both of these options are documented on the page linked above.
+
+Note nvidia-container-toolkit installation method:
+  * Ubuntu
+    * Adding Repositories and Keys
+    ```bash
+    distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \
+    && curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - \
+    && curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
+    ```
+    * install nvidia-container-toolkit
+    ```bash
+    sudo apt update
+    sudo apt install nvidia-container-toolkit
+    ```
+    * restart docker
+    ```bash
+    sudo systemctl restart docker
+    ```
+  * Centos
+    * Adding Repositories and Keys
+    ```bash
+    distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
+    curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.repo | sudo tee /etc/yum.repos.d/nvidia-docker.repo
+    ```
+    * install nvidia-container-toolkit
+    ```bash
+    sudo yun update
+    sudo yum install -y nvidia-container-toolkit
+    ```
+    * restart docker
+    ```bash
+    sudo systemctl restart docker
+    ```
 
 ## Installation steps
 
@@ -78,9 +113,11 @@
 
 
         ```
-        nvidia-docker run --name [Name of container] -it -v $PWD:/paddle <imagename> /bin/bash
+        docker run --gpus all --name [Name of container] -it -v $PWD:/paddle <imagename> /bin/bash
         ```
 
+        > --gpus Specify the gpu device ('"device=0,2"':Represents the use of GPUs 0 and 2; all: Represents the use of all GPUs), please see [Docker docs](https://docs.docker.com/engine/reference/commandline/run/#access-an-nvidia-gpu);
+
         > --name [Name of container] set name of Docker;