本文共 1210 字,大约阅读时间需要 4 分钟。
第一步,安装docker
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"
第二步,安装 Nvidia-Docker
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
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