Tensorflow + Ubuntu 16.04 + GTK780 + GIGABYTE-uefi DualBIOS 配置

1.DEL 进入BIOS设置 进入BIOS功能，将启动优先权各项全部关闭，F10保存，进入U盘启动模式，安装Ubuntu16.04 1.1 EFI引导分区 200M 1.2 swap area(交换空间）大约与本机内存相等 1.3 剩余空间全部用作Ext4日志文件系统， 挂在点选“/” uname -m && cat /etc/*release gcc –version 在文件后面加入blacklist nouveau  # sudo service lightdm stop  关闭图像界面，进入命令行 # sudo ./NVIDIA-Linux-x86_64-367.44.run # sudo service lightdm start   返回图像界面 进入图像界面后报错：System program problem detected (未解决) # nvidia-smi  检查驱动
export PATH=$PATH:/usr/local/cuda-7.5/bin export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64 /usr/local/cuda/lib64 nvcc -V  检查CUDA
# cd /usr/local/cuda-7.5/samples # sudo make测试CUDA 报错： unsupported GNU version! gcc versions later than 4.9 are not supported gcc版本过高，修改CUDA配置文档，没有选择去降低gcc版本
# cd /usr/local/cuda/include/ # sudo cp host_config.h host_config.h.bak # sudo gedit host_config.h  if _GNUC_>4 || (_GNUC_ == 4 && _GNUC_MINOR_ > 9)  将两个4改为5 # cd /usr/local/cuda-7.5/samples # sudo make  测试CUDA，通过
# sudo cpinclude/cudnn.h /usr/local/cuda/include # sudo cp lib64/libcudnn.*  /usr/local/cuda/lib
4.安装Anaconda 下载Anaconda2-4.1.1-Linux-x86_64 # sudo bash  Anaconda2-4.1.1-Linux-x86_64 PREFIX=/usr/anaconda2 installing: hdf5-1.8.16-0 … installing: mkl-11.3.3-0 …
export PATH=”/root/anaconda/bin:$PATH”    anaconda 自动添加环境变量
5.安装TensorFlow # cd /usr/bin # sudo rm -rf python # sudo ln -s /usr/anaconda2/bin/python2.7 python 0.5.0-cp27-none-linux_x86_64.whl
# python; import tensorflow 报错：ImportError: libcudart.so.7.0: cannot open shared object file: No such file or directory 网上查到 依旧报错：ImportError: libcudart.so.7.0: cannot open shared object file: No such file or directory 报错：Cannot remove entries from nonexistent file /usr/anaconda2/lib/python2.7/site-packages/easy-install.pth 几经尝试，放弃安装tensorflow-0.8.0
0.10.0rc0-cp27-none-linux_x86_64.whl 报错：Loaded CuDNN library: 4007 (compatibility version 4000) but source was compiled with library 5103 (compatibility version 5100) … 运行，cudnn版本报错，版本过低，应该装v5
下载cudnn7.5-linux-x64-v5.1.tgz安装 测试cifar10下的 python cifar10_train.py 成功
总结： 软件环境： 操作系统：Ubuntu16.04 显卡型号：GTK780 主板型号：GIGABYTE-uefi DualBIOS
所需软件版本： NVIDIA-Linux-x86_64-367.44.run cuda_7.5.18_linux.run cudnn7.5-linux-x64-v5.1.tgz Anaconda2-4.1.1-Linux-x86_64 tensorflow-0.10.0rc0-cp27-none-linux_x86_64.whl

来源：弓长三