ubuntu16.04 cuda9.0 cudnn Tensorflow GPU 1.10.0

Ubuntu14.04升级到Ubuntu16.04

查看目前版本
lsb_release -a

apt-get update && apt-get dist-upgrade
reboot
do-release-upgrade

lsb_release -a

系统备份
https://blog.csdn.net/qq_35523593/article/details/78545530

tar -cvpzf //media/zhangjun/72CCA22DCCA1EB93/Recovery/ubuntu_backup@date +%Y-%m+%d.tar.gz --exclude=/proc --exclude=/tmp --exclude=/boot --exclude=/home --exclude=/lost+found --exclude=/media --exclude=/mnt --exclude=/run /

直接操作
操作前切换到root，并且换到/根目录。

tar -xvpzf /media/Disk/myDisk/[email protected] -C /

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LiveCD
操作之前请确保你已经有一个制作好的ubuntu U盘启动盘。进入系统后，打开终端还是先切换到root。

mkdir /mnt/sys
mount /dev/sdaX /mnt/sys
tar -xvpzf /media/myDisk/[email protected] -C /mnt/sys

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Installation Instructions:

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 # 这句命令有提示
sudo apt-get update
sudo apt-get install cuda

deb安装包会安装CUDA Toolkit和Driver Package，不需要自己安装驱动
安装时好像也会自动设置环境变量

cudnn 安装：
2.3.1. Installing from a Tar File
1.
Navigate to your 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*

GTX1080Ti LetNet-5 CPU GPU cuDNN7 时间对比

CPU模式：
Makefile.config

CPU_ONLY:=1 前取消 #
make clean
make -j

./build/tools/caffe.bin time -model examples/mnist/lenet_train_test.prototxt
Testing for 50 iterations

Total Time: 2906 ms.

GPU 模式：

Makefile.config

#CPU_ONLY:=1
make clean
make -j

./build/tools/caffe.bin time -model examples/mnist/lenet_train_test.prototxt -gpu 0

Total Time: 370.198 ms.

cuDNN 模式：

Makefile.config

USE_CUDNN:=1

make clean
make -j

./build/tools/caffe.bin time -model examples/mnist/lenet_train_test.prototxt -gpu 0

Testing for 50 iterations.
Total Time: 68.2353 ms.

pip install tensorflow-gpu==1.10.0

安装在 python 路径下面

pip install tensorflow # Python 2.7; CPU support (no GPU support)
pip3 install tensorflow # Python 3.n; CPU support (no GPU support)
pip install tensorflow-gpu # Python 2.7; GPU support
pip3 install tensorflow-gpu # Python 3.n; GPU support

https://pypi.org/project/tensorflow/1.10.0/#files

python2.7 python 3.5 python 3.6

Tensorflow Object Detection API
https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/installation.md

https://github.com/tensorflow/models
下载不了

Tensorflow detection model zoo

https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md

打不开 https://www.tensorflow.org/tutorials/ 怎么办？
用下面的网址！

https://tensorflow.google.cn/tutorials/

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