ubuntun16.04 CUDA9.0 CUDNN7.0 tensorflow1.10.0 安装_ubantuninstall tensorflow 1.10 and cuda 9.0-优快云博客

本文链接：https://blog.youkuaiyun.com/qwerscqwer/article/details/84998339

本文提供CUDA9.0的详细下载及安装步骤，包括设置环境变量、安装Anaconda并更换国内源，以及如何安装和配置cuDNN，确保GPU支持的TensorFlow1.10.0正确运行。

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CUDA9.0下载地址：https://developer.nvidia.com/cuda-90-download-archive?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1604&target_type=deblocal

sudo dpkg -i cuda-repo-ubuntu1604-9-0-local_9.0.176-1_amd64.deb
sudo apt-key add /var/cuda-repo-9-0-local/7fa2af80.pub
sudo apt-get update
sudo apt-get install cuda

export PATH=/usr/local/cuda-9.0/bin${PATH:+:${PATH}}
如果是64位系统，输入：
export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

cudnn 的安装
1.Navigate to your <cudnnpath>
directory containing the cuDNN Tar file.
2.Unzip the cuDNN package.
$ tar -xzvf cudnn-9.0-linux-x64-v7.tgz
3.Copy the following files into the CUDA Toolkit directory.
$ sudo cp cuda/include/cudnn.h /usr/local/cuda/include
$ sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64
$ sudo chmod a+r /usr/local/cuda/include/cudnn.h
/usr/local/cuda/lib64/libcudnn*

安装 Anaconda 从这里下载 https://www.anaconda.com/download/
更换为国内源 https://mirrors.ustc.edu.cn/help/anaconda.html
conda config --add channels https://mirrors.ustc.edu.cn/anaconda/pkgs/free/
conda config --add channels https://mirrors.ustc.edu.cn/anaconda/pkgs/main/
conda config --add channels https://mirrors.ustc.edu.cn/anaconda/cloud/conda-forge/
conda config --set show_channel_urls yes
然后安装
conda install tensorflow-gpu==1.10.0
装好后测试
import tensorflow as tf
tf.__version__