修改与之前修改nvcc、cuda这些的原理是一样的。

国内镜像

https://mirrors.cloud.tencent.com/nvidia-machine-learning/

检查系统版本

source /etc/os-release && echo $VERSION_ID

导入apt仓库和其GPG key

# 第一步若输出 16.04，请用下面的命令
curl -fsSL https://mirrors.cloud.tencent.com/nvidia-machine-learning/ubuntu1604/x86_64/7fa2af80.pub | apt-key add -
echo "deb https://mirrors.cloud.tencent.com/nvidia-machine-learning/ubuntu1604/x86_64/ /" > /etc/apt/sources.list.d/cuda.list

# 第一步若输出 18.04，请用下面的命令
curl -fsSL https://mirrors.cloud.tencent.com/nvidia-machine-learning/ubuntu1804/x86_64/7fa2af80.pub | apt-key add -
echo "deb https://mirrors.cloud.tencent.com/nvidia-machine-learning/ubuntu1804/x86_64/ /" > /etc/apt/sources.list.d/cuda.list

用命令安装cudnn

https://gitlab.com/nvidia/container-images/cuda

https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/10.2/ubuntu18.04-x86_64/runtime/cudnn8/Dockerfile

https://mirrors.cloud.tencent.com/nvidia-machine-learning/ubuntu1804/x86_64/
从镜像中找到对应版本

# 这里以8.0.3.33版本为例
apt-get update && apt-get install -y --no-install-recommends \
    libcudnn8=8.0.3.33-1+cuda10.2 \
    && apt-mark hold libcudnn8 && \
    rm -rf /var/lib/apt/lists/*