@

一、检查GPU是否可用

lspci | grep -i nvidia

出现如下内容则说明有GPU

二、安装nvidia-docker

sudo apt-get install -y nvidia-docker2
sudo systemctl daemon-reload
sudo systemctl restart docker

三、验证 nvidia-docker 安装

sudo docker run --runtime=nvidia --rm nvidia/cuda nvidia-smi

有时候会报如下错误

需要改写/etc/docker/daemon.json文件，改成如下形式即可

{
    "registry-mirrors": ["https://registry.docker-cn.com"],
    "runtimes": {
        "nvidia": {
            "path": "/usr/bin/nvidia-container-runtime",
            "runtimeArgs": []
        }
    }
}

四、安装Tensorflow-GPU

docker run --gpus all -it --rm tensorflow/tensorflow:latest-gpu    python -c "import tensorflow as tf; print(tf.reduce_sum(tf.random.normal([1000, 1000])))"

docker安装 nvidia-docker和Tensorflow-GPU

原文：https://www.cnblogs.com/long5683/p/13474397.html