大家好，又见面了，我是你们的朋友全栈君。
这个系列写了好几篇文章，这是相关文章的索引，仅供参考：
以下是相关深度学习工具包的安装，包括Tensorflow, PyTorch, Torch等：
首先安装libcupti-dev
sudo apt-get install libcupti-dev
然后用 virtualenv 方式安装 Tensorflow(当前是1.4版本)
sudo apt-get install python-pip python-dev python-virtualenv
mkdir tensorflow
cd tensorflow
virtualenv –system-site-packages venv
source venv/bin/activate
pip install –upgrade tensorflow-gpu
测试GPU：
Python 2.7.12 (default, Nov 19 2016, 06:48:10)
[GCC 5.4.0 20160609] on linux2
Type “help”, “copyright”, “credits” or “license” for more information.
>>> import tensorflow as tf
>>> sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))
…
2017-10-24 20:37:24.290049: I tensorflow/core/common_runtime/gpu/gpu_device.cc:955] Found device 0 with properties:
name: GeForce GTX 1080 Ti
major: 6 minor: 1 memoryClockRate (GHz) 1.6575
pciBusID 0000:01:00.0
Total memory: 10.91GiB
Free memory: 10.52GiB
…
2017-10-24 20:37:24.387363: I tensorflow/core/common_runtime/gpu/gpu_device.cc:955] Found device 1 with properties:
name: GeForce GTX 1080 Ti
major: 6 minor: 1 memoryClockRate (GHz) 1.6575
pciBusID 0000:02:00.0
Total memory: 10.91GiB
Free memory: 10.76GiB
2017-10-24 20:37:24.388168: I tensorflow/core/common_runtime/gpu/gpu_device.cc:976] DMA: 0 1
2017-10-24 20:37:24.388176: I tensorflow/core/common_runtime/gpu/gpu_device.cc:986] 0: Y Y
2017-10-24 20:37:24.388179: I tensorflow/core/common_runtime/gpu/gpu_device.cc:986] 1: Y Y
2017-10-24 20:37:24.388186: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1045] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0)
2017-10-24 20:37:24.388189: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1045] Creating TensorFlow device (/gpu:1) -> (device: 1, name: GeForce GTX 1080 Ti, pci bus id: 0000:02:00.0)
Device mapping:
/job:localhost/replica:0/task:0/gpu:0 -> device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0
/job:localhost/replica:0/task:0/gpu:1 -> device: 1, name: GeForce GTX 1080 Ti, pci bus id: 0000:02:00.0
2017-10-24 20:37:24.449867: I tensorflow/core/common_runtime/direct_session.cc:300] Device mapping:
/job:localhost/replica:0/task:0/gpu:0 -> device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0
/job:localhost/replica:0/task:0/gpu:1 -> device: 1, name: GeForce GTX 1080 Ti, pci bus id: 0000:02:00.0
>>>
首先在PyTorch的官网下载对应的pip安装文件：
然后用virtualenv的方式安装，非常方便：
mkdir pytorch
cd pytorch/
virtualenv venv
source venv/bin/activate
pip install /path/to/torch-0.2.0.post3-cp27-cp27mu-manylinux1_x86_64.whl
pip install torchvision
git clone https://github.com/torch/distro.git ~/torch –recursive
cd ~/torch; bash install-deps;
./install.sh
如无意外，可以顺利安装，如果遇到了如下两个问题，可按下述方法修改：
1) 执行./install.sh时出现Moses>=1.错误
Missing dependencies for nn:moses >= 1.，有时候执行./install.sh时，会出现这个问题。
用这个方法解决：
sudo apt install luarocks
sudo luarocks install moses
2) install.sh 过程中提示“error — unsupported GNU version! gcc versions later than 5 are not supported!”
ubuntu17.04自带gcc 6.x 版本，所以降级安装gcc 4.9版本解决问题：
sudo apt-get install g -4.9
sudo update-alternatives –install /usr/bin/gcc gcc /usr/bin/gcc-4.9 20
sudo update-alternatives –install /usr/bin/g g /usr/bin/g -4.9 20
成功执行安装脚本后后提示：
Do you want to automatically prepend the Torch install location
to PATH and LD_LIBRARY_PATH in your /home/yourpath/.bashrc? (yes/no)
[yes] >>>
yes
安装脚本会自动将torch的安装路径写入到 .bashrc里，然后输入 th试试：
如果你想用Lua5.2替代LuaJIT的方式安装Torch(If you want to install torch with Lua 5.2 instead of LuaJIT, simply run)，可按如下方式安装：
git clone https://github.com/torch/distro.git torch –recursive
cd torch
# clean old torch installation
./clean.sh
在 ~/.bashrec中设置lua的环境：
TORCH_LUA_VERSION=LUA52
并执行 source ~/.bashrc, 然后运行：
./install.sh
遇到第一个问题：
cmake: not found
安装cmake解决：
sudo apt-get install cmake
第二个问题：
readline.c:8:31: fatal error: readline/readline.h: 没有那个文件或目录
安装libreadine-dev解决：
sudo apt-get install libreadline-dev
第三个问题：安装过程依然提示“error — unsupported GNU version! gcc versions later than 5 are not supported!”
ubuntu17.04自带gcc 6.x 版本，所以降级安装gcc 4.9版本解决问题：
sudo apt-get install g -4.9
sudo update-alternatives –install /usr/bin/gcc gcc /usr/bin/gcc-4.9 20
sudo update-alternatives –install /usr/bin/g g /usr/bin/g -4.9 20
安装完毕依然会提示：
Not updating your shell profile.
You might want to
add the following lines to your shell profile:
. /home/textminer/torch/torch/install/bin/torch-activate
在 ~/.profile 文件末尾加上这行 “. /home/textminer/torch/torch/install/bin/torch-activate ” 并执行 source ~/.profile，然后输入 th试试。
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