引言

第一步 安装Docker

SET UP THE REPOSITORY

sudo apt-get remove docker docker-engine docker.io containerd runc sudo apt-get update sudo apt-get install  apt-transport-https  ca-certificates  curl  gnupg-agent  software-properties-common curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add - sudo add-apt-repository  "deb [arch=amd64] https://download.docker.com/linux/ubuntu  $(lsb_release -cs)  stable" 

INSTALL DOCKER CE

sudo apt-get update sudo apt-get install docker-ce docker-ce-cli containerd.io apt-cache madison docker-ce 选一个 for example, 5:18.09.1~3-0~ubuntu-xenialsudo apt-get install docker-ce= docker-ce-cli= containerd.io sudo docker run hello-world#运行通过就OKdocker version#有版本提示就OK 

第二步 安装Nvidia-Docker

# If you have nvidia-docker 1.0 installed: we need to remove it and all existing GPU containersdocker volume ls -q -f driver=nvidia-docker | xargs -r -I{} -n1 docker ps -q -a -f volume={} | xargs -r docker rm -fsudo apt-get purge -y nvidia-docker # Add the package repositoriescurl -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.listsudo apt-get update # Install nvidia-docker2 and reload the Docker daemon configurationsudo apt-get install -y nvidia-docker2sudo pkill -SIGHUP dockerd # Test nvidia-smi with the latest official CUDA imagedocker run --runtime=nvidia --rm nvidia/cuda:9.0-base nvidia-smi#输出显卡信息就OK

第三步 安装Caffe2

docker pull caffe2ai/caffe2 # to testnvidia-docker run -it caffe2ai/caffe2:latest python -m caffe2.python.operator_test.relu_op_test # to interactnvidia-docker run -it caffe2ai/caffe2:latest /bin/bash第四步 测试python -c 'from caffe2.python import core' 2>/dev/null && echo "Success" || echo "Failure"#返回Success就OKpython2 -c 'from caffe2.python import workspace; print(workspace.NumCudaDevices())'#返回1就OK#进入python输入from caffe2.python import workspace#不报错就OK

小结

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