Merge pull request #785 from barrierye/add-nvidia-wiki-to-docker-images-doc

add nvidia-wiki to docker-images doc

doc/DOCKER_IMAGES.md

@@ -24,7 +24,6 @@ You can get images in two ways:
    ```
 
 
-   
 
 ## Image description
 
@@ -40,3 +39,13 @@ Runtime images cannot be used for compilation.
 |              GPU (cuda10.0-cudnn7) development               | CentOS7 | latest-cuda10.0-cudnn7-devel | [Dockerfile.cuda10.0-cudnn7.devel](../tools/Dockerfile.cuda10.0-cudnn7.devel) |
 |     CPU development (Used to compile packages on Ubuntu)     | CentOS6 |            <None>            | [Dockerfile.centos6.devel](../tools/Dockerfile.centos6.devel) |
 | GPU (cuda9.0-cudnn7) development (Used to compile packages on Ubuntu) | CentOS6 |            <None>            | [Dockerfile.centos6.cuda9.0-cudnn7.devel](../tools/Dockerfile.centos6.cuda9.0-cudnn7.devel) |
+
+
+
+## Requirements for running CUDA containers
+
+Running a CUDA container requires a machine with at least one CUDA-capable GPU and a driver compatible with the CUDA toolkit version you are using. 
+
+The machine running the CUDA container **only requires the NVIDIA driver**, the CUDA toolkit doesn't have to be installed.
+
+For the relationship between CUDA toolkit version, Driver version and GPU architecture, please refer to [nvidia-docker wiki](https://github.com/NVIDIA/nvidia-docker/wiki/CUDA).

doc/DOCKER_IMAGES_CN.md

@@ -22,7 +22,6 @@
    ```shell
    docker build -t <image-name>:<images-tag> .
    ```
-
    
 
 
@@ -40,3 +39,13 @@
 | GPU (cuda10.0-cudnn7) 开发镜像                     | CentOS7  | latest-cuda10.0-cudnn7-devel | [Dockerfile.cuda10.0-cudnn7.devel](../tools/Dockerfile.cuda10.0-cudnn7.devel) |
 | CPU 开发镜像 (用于编译 Ubuntu 包)                  | CentOS6  | <无>                         | [Dockerfile.centos6.devel](../tools/Dockerfile.centos6.devel) |
 | GPU (cuda9.0-cudnn7) 开发镜像 (用于编译 Ubuntu 包) | CentOS6  | <无>                         | [Dockerfile.centos6.cuda9.0-cudnn7.devel](../tools/Dockerfile.centos6.cuda9.0-cudnn7.devel) |
+
+
+
+## 运行CUDA容器的要求
+
+运行CUDA容器需要至少具有一个支持CUDA的GPU以及与您所使用的CUDA工具包版本兼容的驱动程序。
+
+运行CUDA容器的机器**只需要相应的NVIDIA驱动程序**，而CUDA工具包不是必要的。
+
+相关CUDA工具包版本、驱动版本和GPU架构的关系请参阅 [nvidia-docker wiki](https://github.com/NVIDIA/nvidia-docker/wiki/CUDA)。