经历了无数次失败，楼主终于装上了nvidia-docker，值得庆祝。写个博客造福社会，不谢！

楼主环境：Ubuntu16.04 新装的纯净系统

第一步，先装CUDA和CUDNN

1。下载CUDA9.0和CUDNN7.5，绝对不可以弄错

2。如果之前装得有其他版本，请卸载

sudo /usr/local/cuda-8.0/bin/uninstall_cuda_8.0.pl

sudo rm -rf /usr/local/cuda-8.0/

3。安装

./cuda_10.0.130_410.48_linux.run

accept
n
y
y
n

vim ~/.bashrc
#添加以下三行：
export CUDA_HOME=/usr/local/cuda-10.0
export LD_LIBRARY_PATH=${CUDA_HOME}/lib64
export PATH=${CUDA_HOME}/bin:${PATH}

source ~/.bashrc

nvcc -
#如果出现以下信息，表明安装成功
test@test:~$ nvcc -V nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2018 NVIDIA Corporation Built on Sat_Aug_25_21:08:01_CDT_2018 Cuda compilation tools, release 10.0, V10.0.130

解压CUDNN，出现cuda文件夹

cp cuda/lib64/* /usr/local/cuda-10.0/lib64/
cp cuda/include/* /usr/local/cuda-10.0/include/

 

第二步，安装docker

# step 0:移除先前版本

sudo apt-get remove docker docker-engine docker.io

# step 1: 安装必要的一些系统工具

sudo apt-get update

sudo apt-get -y install apt-transport-https ca-certificates curl software-properties-common

# step 2: 安装GPG证书

curl -fsSL http://mirrors.aliyun.com/docker-ce/linux/ubuntu/gpg | sudo apt-key add -

# Step 3: 写入软件源信息

sudo add-apt-repository "deb [arch=amd64] http://mirrors.aliyun.com/docker-ce/linux/ubuntu $(lsb_release -cs) stable"

# Step 4: 更新并安装 Docker-CE

sudo apt-get -y update

sudo apt-get -y install docker-ce
# Step 5：测试

docker version

第三步，安装nvidia-docker

参见 https://github.com/NVIDIA/nvidia-docker

# If you have nvidia-docker 1.0 installed: we need to remove it and all existing GPU containers
docker volume ls -q -f driver=nvidia-docker | xargs -r -I{} -n1 docker ps -q -a -f volume={} | xargs -r docker rm -f
sudo apt-get purge -y nvidia-docker

# Add the package repositories
curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | \
  sudo apt-key add -
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | \
  sudo tee /etc/apt/sources.list.d/nvidia-docker.list
sudo apt-get update

# Install nvidia-docker2 and reload the Docker daemon configuration
sudo apt-get install -y nvidia-docker2
sudo pkill -SIGHUP dockerd

# Test nvidia-smi with the latest official CUDA image
docker run --runtime=nvidia --rm nvidia/cuda:9.0-base nvidia-smi

此时，如果报错，说明安装失败。楼主就报错了。则执行第四步。

第四步，配置驱动

# Test nvidia-smi with the latest official CUDA image

docker run --runtime=nvidia --rm nvidia/cuda:9.0-base nvidia-smi

大功告成！成功请留言，哈哈！