docker安裝tensorflow-gpu

刀麼克瑟拉莫發表於2020-12-11
DockerGPU
  • 1.因為之前安裝別的框架已經安裝過NVIDIA驅動，所以不知道需不需要先裝驅動。個人建議先安裝驅動，看這裡。
  • 2.根據官網安裝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"
sudo apt-get update
sudo apt-get install docker-ce docker-ce-cli containerd.io
sudo docker run hello-world  #驗證是否安裝成功
  • 3.安裝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

sudo docker pull tensorflow/tensorflow:1.7.1-devel-gpu-py3
  • 5.驗證
sudo docker run --runtime=nvidia -it tensorflow/tensorflow:1.7.1-devel-gpu-py3 bash
python
import tensorflow as tf
tf.enable_eager_execution()
print(tf.reduce_sum(tf.random_normal([1000, 1000])))

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